SlideShare une entreprise Scribd logo
1  sur  4
Télécharger pour lire hors ligne
Introduction
IR microscopy is a well-established analytical
technique for the measurement and identification of
small samples down to a few micrometers in size. It
is used extensively in the polymer, pharmaceutical,
chemical, food, and electronics industries, to name a
few, often identifying small contaminations or
foreign objects of unknown origin. In forensic
applications small particles of materials such as
drugs, paint chips, residues or fibers are often collected as evidence and analyzed by IR microscopy.
The type and size of the material, as well as the matrix in which the sample is contained, will dictate the
type of IR microscopy sampling technique to be deployed; transmission, reflectance, or ATR.
The Spotlight™
200i IR microscope is a fully automated system comprising:
• Automated X, Y, Z stage
• Automatic illxumination LEDs
• Autofocus
• Auto correction
• Automated switching between transmission and reflectance
• Automated dropdown ATR crystal
All of these features are controlled using the Spectrum 10 software.
Rapid Characterization
of Multiple Regions of
Interest in a Sample
Using Automated
IR Microscopy
A P P L I C A T I O N N O T E
Author:
Ian Robertson
PerkinElmer, Inc.
Seer Green, UK
Infrared, IR Microscopy
2
This routine will detect any particles present in the visible image
and mark them as regions of interest. It will then calculate the
maximum rectangular aperture size that can fit wholly inside each
of the particles, thus minimizing signal-to-noise when the data is
scanned. (In the past manual selection of the regions of interest
and setting of apertures took a considerable amount of time.)
Clicking “Scan Markers” will then initiate collecting transmission
spectra (using equivalent apertures for the background) for each
sample, displaying ratioed sample spectra in real time as they are
collected. Automatic processing of the spectra, such as Search,
Compare or Verify, will be performed during data collection. In the
case of the analysis of the microplastics a spectral search was
performed against a library of polymer spectra to give the identity
of each of the particles.
Two different polymer types were detected in this sample,
identified as polyethylene and polypropylene. The spectra are
shown in Figure 3.
Automated detection and analysis of microplastics
extracted from a cosmetic formulation
An example of this automation is the detection and classification
of microplastic particles extracted from a cosmetic formulation.
Cosmetic exfoliating agents contain small microplastic particles as
the abrasive material to scrub the skin. These microplastics make
their way into the river systems and ultimately into the marine
environment where they are serious pollutants. A commercially
available product was mixed with hot water to dissolve the soluble
ingredients in the formulation. The resulting solution was filtered
using a 50-micrometer mesh, capturing any insoluble components
greater than 50 micrometers in size. The filter was allowed to dry
before transferring the residual particles onto an IR transmitting
window on a microscope holder. A Visible Image Survey was
collected over the area containing the majority of the particles.
Selecting the “Analyze Image” icon in the Spectrum 10 software
calls up the intelligent, automated routine for analyzing the
image, as shown in Figure 1.
Figure 1: The "Analyze Image" function detected filtered particles deposited on a
KBr window.
Figure 3: Spectra of the two different polymer types are shown here.
Top: polypropylene, Bottom: polyethylene.
Figure 2: Results screen for detection and identification of particles.
Traditionally, measurement of a sample on an IR microscope
involves several manual steps to find and specify the regions of
interest for the analysis and manual processing of the collected
data. All of which can be very time consuming. These processes
have now been fully automated within the Spectrum 10
software, using intelligent detection routines for the typical types
of samples measured on an IR microscope: particles, multilayer
samples, and sample inclusions.
This Application Note will demonstrate the advantages of such an
automated IR microscopy platform for the characterization of
particles and/or foreign objects in different types of materials.
3
Automated detection and analysis of
contaminants on an electronic contact
Electronic contacts need to be clean and free from
contamination to avoid problems in operation. A sample was
submitted for analysis that had visible contaminants. The sample
was placed in the Spotlight 200i and a “Visible Image Survey”
collected over the entire contact. The resulting image was then
analyzed using the “Detect Particles” function in the Spectrum
10 software in an attempt to find any contamination. The Visible
Image Survey and an expanded region showing the particles
detected are shown as Figure 4.
After selecting “Scan Markers”, the software automatically
collected reflectance backgrounds and spectra for the particles
(fibers), their spectra shown as Figure 5.
Five different layers were detected in the image and markers
placed in the center of each layer. Clicking “Scan Markers” will
automatically collect the background scans then move to each
of the markers, lower the automated ATR crystal onto the
sample (Figure 7), and measure the spectra. The spectra
obtained from each of the layers are shown in Figure 8 and were
identified by comparison against search libraries.
Figure 4: The Visible Image Survey and expanded region show automatic detection
of contaminants.
Figure 5: Reflectance spectra of the two contaminant fibers.
Figure 6: Automated detection feature of the Spotlight 200i show multiple layers in
a polymer laminate.
The spectra of these two materials are similar with the lower
spectrum showing an additional broad peak centred around 700
cm-1. The top spectrum was identified as an acrylonitrile-butyl
methacrylate copolymer by searching the spectrum against a
spectral library of polymers and polymer additives. Since the
lower spectrum clearly has another component present, it was
subjected to a mixture search that also detected the presence of
tin oxide in the sample.
Automated ATR analysis of layers in a
polymer laminate
ATR is a convenient sampling technique requiring minimal
sample preparation that has been routinely applied within the
polymer industry. An automated drop-down ATR crystal on an IR
microscope allows for automated measurement of polymer
samples, including layers of multilayer laminates. A multilayer
polymer card was clamped in a sample holder and placed on the
stage of the Spotlight 200i. A “Visible Image Survey” was
recorded over a 2 mm x 2 mm area of the sample and the
automated “Detect Layers” function in the Spectrum 10
software was applied, as shown in Figure 6.
For a complete listing of our global offices, visit www.perkinelmer.com/ContactUs
Copyright ©2015, PerkinElmer, Inc. All rights reserved. PerkinElmer®
is a registered trademark of PerkinElmer, Inc. All other trademarks are the property of their respective owners.
012075_01	PKI
PerkinElmer, Inc.
940 Winter Street
Waltham, MA 02451 USA	
P: (800) 762-4000 or
(+1) 203-925-4602
www.perkinelmer.com
Figure 7: The automated dropdown ATR crystal. Figure 8: Spectra of the five layers.
The layers were identified from top to bottom as Polyethylene
terephthalate (PET), ethylene-vinyl acetate (EVA) co-polymer, silica-
loaded polyethylene, another layer of EVA and another layer of PET.
Summary
The Spotlight 200i, an intelligent automated IR microscope system, is
able to simplify and dramatically speed up the process of collecting
and analyzing spectra from a variety of sample types. The
automation has been applied to all sampling modes: Transmission,
Reflectance, and ATR, as well as a variety of different sample types:
particles, fibers and multi-layers.

Contenu connexe

Tendances

DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UV
DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UVDEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UV
DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UVEvan Forney
 
Libs.power point1.
Libs.power point1.Libs.power point1.
Libs.power point1.RITOBRATA
 
Application of raman spectroscopy in food analysis
Application of raman spectroscopy in food analysisApplication of raman spectroscopy in food analysis
Application of raman spectroscopy in food analysisKiran Qamar Kayani
 
FT-NIR as a real-time QC tool for polymer manufacturing
FT-NIR as a real-time QC tool for polymer manufacturingFT-NIR as a real-time QC tool for polymer manufacturing
FT-NIR as a real-time QC tool for polymer manufacturingGalaxy Scientific
 
ATR FTIR_ Sahana
ATR FTIR_ SahanaATR FTIR_ Sahana
ATR FTIR_ Sahanasavvysahana
 
Nirs
NirsNirs
Nirslundu
 
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...bengreenman
 
Nanopharmacology and nanotechnology
Nanopharmacology and nanotechnologyNanopharmacology and nanotechnology
Nanopharmacology and nanotechnologyMobiliuz
 
Illicit Drugs and Homemade Explosives Identification using FTIR Microscopy
Illicit Drugs and Homemade Explosives Identification using FTIR MicroscopyIllicit Drugs and Homemade Explosives Identification using FTIR Microscopy
Illicit Drugs and Homemade Explosives Identification using FTIR MicroscopyShimadzu Scientific Instruments
 
Simple design flow injection PMMA acrylic sample cell for nitrite determination
Simple design flow injection PMMA acrylic sample cell for nitrite determinationSimple design flow injection PMMA acrylic sample cell for nitrite determination
Simple design flow injection PMMA acrylic sample cell for nitrite determinationHarry Ramza
 
The Coulter Principle for Cellular & Biological Applications
The Coulter Principle for Cellular & Biological Applications The Coulter Principle for Cellular & Biological Applications
The Coulter Principle for Cellular & Biological Applications Kira Shapiro
 
Interferometric Evanescent Wave Biosensor Principles and Parameters
Interferometric Evanescent Wave Biosensor Principles and ParametersInterferometric Evanescent Wave Biosensor Principles and Parameters
Interferometric Evanescent Wave Biosensor Principles and Parametersiosrjce
 
A THESIS ON NANOPIGMENT
A THESIS ON NANOPIGMENTA THESIS ON NANOPIGMENT
A THESIS ON NANOPIGMENTJenson Samraj
 
Nano research 2014 qian liu
Nano research 2014 qian liuNano research 2014 qian liu
Nano research 2014 qian liuQian Liu, phD
 
Attenuated total reflectance spectroscopy
Attenuated total reflectance spectroscopyAttenuated total reflectance spectroscopy
Attenuated total reflectance spectroscopychaitanya kolli
 

Tendances (20)

DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UV
DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UVDEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UV
DEVELOPMENT OF A NITRATE CONCENTRATON PREDICTION MODEL USING UV
 
Research seminar
Research seminarResearch seminar
Research seminar
 
Libs.power point1.
Libs.power point1.Libs.power point1.
Libs.power point1.
 
Application of raman spectroscopy in food analysis
Application of raman spectroscopy in food analysisApplication of raman spectroscopy in food analysis
Application of raman spectroscopy in food analysis
 
FT-NIR as a real-time QC tool for polymer manufacturing
FT-NIR as a real-time QC tool for polymer manufacturingFT-NIR as a real-time QC tool for polymer manufacturing
FT-NIR as a real-time QC tool for polymer manufacturing
 
ATR FTIR_ Sahana
ATR FTIR_ SahanaATR FTIR_ Sahana
ATR FTIR_ Sahana
 
Nanomaterials in food
Nanomaterials in foodNanomaterials in food
Nanomaterials in food
 
Atr new
Atr newAtr new
Atr new
 
Nirs
NirsNirs
Nirs
 
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...
Near Infrared Spectroscopy In Off Line Biomass Monitoring Of Candida Utilis C...
 
Nanopharmacology and nanotechnology
Nanopharmacology and nanotechnologyNanopharmacology and nanotechnology
Nanopharmacology and nanotechnology
 
Illicit Drugs and Homemade Explosives Identification using FTIR Microscopy
Illicit Drugs and Homemade Explosives Identification using FTIR MicroscopyIllicit Drugs and Homemade Explosives Identification using FTIR Microscopy
Illicit Drugs and Homemade Explosives Identification using FTIR Microscopy
 
Nirs
NirsNirs
Nirs
 
Simple design flow injection PMMA acrylic sample cell for nitrite determination
Simple design flow injection PMMA acrylic sample cell for nitrite determinationSimple design flow injection PMMA acrylic sample cell for nitrite determination
Simple design flow injection PMMA acrylic sample cell for nitrite determination
 
The Coulter Principle for Cellular & Biological Applications
The Coulter Principle for Cellular & Biological Applications The Coulter Principle for Cellular & Biological Applications
The Coulter Principle for Cellular & Biological Applications
 
Interferometric Evanescent Wave Biosensor Principles and Parameters
Interferometric Evanescent Wave Biosensor Principles and ParametersInterferometric Evanescent Wave Biosensor Principles and Parameters
Interferometric Evanescent Wave Biosensor Principles and Parameters
 
Ecoepidemiology & Dioxins / Prof. Jean Francois Viel
Ecoepidemiology & Dioxins / Prof. Jean Francois VielEcoepidemiology & Dioxins / Prof. Jean Francois Viel
Ecoepidemiology & Dioxins / Prof. Jean Francois Viel
 
A THESIS ON NANOPIGMENT
A THESIS ON NANOPIGMENTA THESIS ON NANOPIGMENT
A THESIS ON NANOPIGMENT
 
Nano research 2014 qian liu
Nano research 2014 qian liuNano research 2014 qian liu
Nano research 2014 qian liu
 
Attenuated total reflectance spectroscopy
Attenuated total reflectance spectroscopyAttenuated total reflectance spectroscopy
Attenuated total reflectance spectroscopy
 

En vedette

Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...
Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...
Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...Deborah Robertson-Andersson
 
Counting and sizing microplastic fribres, the accurate and easy way.
Counting and sizing microplastic fribres, the accurate and easy way.Counting and sizing microplastic fribres, the accurate and easy way.
Counting and sizing microplastic fribres, the accurate and easy way.MACE Lab
 
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...angelo massos
 
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...Detection and Identification of Microplastic Particles in Cosmetic Formulatio...
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...PerkinElmer, Inc.
 
Microplastic Pollution - review
Microplastic Pollution - reviewMicroplastic Pollution - review
Microplastic Pollution - reviewZoe Sloan
 
Microplastic Presentation
Microplastic PresentationMicroplastic Presentation
Microplastic Presentationangelo massos
 
Microplastic Pollution - Presentation
Microplastic Pollution - PresentationMicroplastic Pollution - Presentation
Microplastic Pollution - PresentationZoe Sloan
 
Meetup #6 Voiture Connectée à Paris
Meetup #6 Voiture Connectée à ParisMeetup #6 Voiture Connectée à Paris
Meetup #6 Voiture Connectée à ParisLaurent Dunys
 
Plagiat : Détection et prévention
Plagiat : Détection et préventionPlagiat : Détection et prévention
Plagiat : Détection et préventionJean-Luc Trussart
 
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...Reconnaissance de panneaux de signalisation routière en utilisant la détectio...
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...Loghin Dumitru
 
Les systèmes RADAR (CFAR)
Les systèmes RADAR (CFAR)Les systèmes RADAR (CFAR)
Les systèmes RADAR (CFAR)amsnet
 
PCR : Polymerase chain reaction : classique et en temps réel
PCR : Polymerase chain reaction : classique et en temps réelPCR : Polymerase chain reaction : classique et en temps réel
PCR : Polymerase chain reaction : classique et en temps réelNadia Terranti
 
Presoutenance
PresoutenancePresoutenance
PresoutenanceJun XIONG
 
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...Analyse de méthodes intelligentes de détection de fissures dans diverses stru...
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...Papa Cheikh Cisse
 
Protection perimetrique
Protection perimetriqueProtection perimetrique
Protection perimetriqueMATECH
 
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)Hackfest Communication
 
Takex MS-12TE Instruction Manual
Takex MS-12TE Instruction ManualTakex MS-12TE Instruction Manual
Takex MS-12TE Instruction ManualJMAC Supply
 
Nueva Linea 2010 Dsc Sony
Nueva Linea 2010 Dsc SonyNueva Linea 2010 Dsc Sony
Nueva Linea 2010 Dsc SonyTecnomania
 

En vedette (20)

Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...
Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...
Microplastic uptake and retention in Perma perna (L.); Tripneustes gratula (L...
 
Counting and sizing microplastic fribres, the accurate and easy way.
Counting and sizing microplastic fribres, the accurate and easy way.Counting and sizing microplastic fribres, the accurate and easy way.
Counting and sizing microplastic fribres, the accurate and easy way.
 
ACE 15 Poster
ACE 15 PosterACE 15 Poster
ACE 15 Poster
 
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...
Linkedin_Microplastics in North Devon Intertidal Sediments_Angelo_Massos_1036...
 
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...Detection and Identification of Microplastic Particles in Cosmetic Formulatio...
Detection and Identification of Microplastic Particles in Cosmetic Formulatio...
 
Microplastic Pollution - review
Microplastic Pollution - reviewMicroplastic Pollution - review
Microplastic Pollution - review
 
Microplastic Presentation
Microplastic PresentationMicroplastic Presentation
Microplastic Presentation
 
Microplastic Pollution - Presentation
Microplastic Pollution - PresentationMicroplastic Pollution - Presentation
Microplastic Pollution - Presentation
 
Meetup #6 Voiture Connectée à Paris
Meetup #6 Voiture Connectée à ParisMeetup #6 Voiture Connectée à Paris
Meetup #6 Voiture Connectée à Paris
 
Plagiat : Détection et prévention
Plagiat : Détection et préventionPlagiat : Détection et prévention
Plagiat : Détection et prévention
 
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...Reconnaissance de panneaux de signalisation routière en utilisant la détectio...
Reconnaissance de panneaux de signalisation routière en utilisant la détectio...
 
Les systèmes RADAR (CFAR)
Les systèmes RADAR (CFAR)Les systèmes RADAR (CFAR)
Les systèmes RADAR (CFAR)
 
PCR : Polymerase chain reaction : classique et en temps réel
PCR : Polymerase chain reaction : classique et en temps réelPCR : Polymerase chain reaction : classique et en temps réel
PCR : Polymerase chain reaction : classique et en temps réel
 
Presoutenance
PresoutenancePresoutenance
Presoutenance
 
Processus Audit SI
Processus Audit SIProcessus Audit SI
Processus Audit SI
 
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...Analyse de méthodes intelligentes de détection de fissures dans diverses stru...
Analyse de méthodes intelligentes de détection de fissures dans diverses stru...
 
Protection perimetrique
Protection perimetriqueProtection perimetrique
Protection perimetrique
 
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)
La détection d'intrusions est-elle morte en 2003 ? (Éric Gingras)
 
Takex MS-12TE Instruction Manual
Takex MS-12TE Instruction ManualTakex MS-12TE Instruction Manual
Takex MS-12TE Instruction Manual
 
Nueva Linea 2010 Dsc Sony
Nueva Linea 2010 Dsc SonyNueva Linea 2010 Dsc Sony
Nueva Linea 2010 Dsc Sony
 

Similaire à Rapid Characterization of Multiple Regions of Interest in a Sample Using Automated IR Microscopy

Detection and Identification of Contaminations in the Manufacturing Process U...
Detection and Identification of Contaminations in the Manufacturing Process U...Detection and Identification of Contaminations in the Manufacturing Process U...
Detection and Identification of Contaminations in the Manufacturing Process U...PerkinElmer, Inc.
 
Characterizing Polymenr Laminates Using IR Microscopy
Characterizing Polymenr Laminates Using IR MicroscopyCharacterizing Polymenr Laminates Using IR Microscopy
Characterizing Polymenr Laminates Using IR MicroscopyPerkinElmer, Inc.
 
Artificial Intelligence and Machine Learning Operated Pesticide Sprayer
Artificial Intelligence and Machine Learning Operated Pesticide SprayerArtificial Intelligence and Machine Learning Operated Pesticide Sprayer
Artificial Intelligence and Machine Learning Operated Pesticide SprayerIRJET Journal
 
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation Algorithm
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation AlgorithmIRJET-Automatic RBC And WBC Counting using Watershed Segmentation Algorithm
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation AlgorithmIRJET Journal
 
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...
IRJET -  	  Real-Time Analysis of Video Surveillance using Machine Learning a...IRJET -  	  Real-Time Analysis of Video Surveillance using Machine Learning a...
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...IRJET Journal
 
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...IRJET - Automating the Identification of Forest Animals and Alerting in Case ...
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...IRJET Journal
 
Authentication Using Hand Vein Pattern
Authentication Using Hand Vein PatternAuthentication Using Hand Vein Pattern
Authentication Using Hand Vein PatternIJTET Journal
 
Pharmaceutical imaging techniques (2)
Pharmaceutical imaging techniques (2)Pharmaceutical imaging techniques (2)
Pharmaceutical imaging techniques (2)sakshi9
 
Spotlight 150i-200i-specifications english
Spotlight 150i-200i-specifications englishSpotlight 150i-200i-specifications english
Spotlight 150i-200i-specifications englishKu Bon
 
Viserion raman spectroscopy for biotechnnology and chemistery (2)
Viserion raman spectroscopy for biotechnnology and chemistery (2)Viserion raman spectroscopy for biotechnnology and chemistery (2)
Viserion raman spectroscopy for biotechnnology and chemistery (2)Remy Carbonnel 🤖
 
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...IRJET Journal
 
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...IRJET Journal
 
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...iosrjce
 
Machine vision project
Machine vision projectMachine vision project
Machine vision projectWei Ang
 
IRJET- Waste Management System with Thingspeak
IRJET- Waste Management System with ThingspeakIRJET- Waste Management System with Thingspeak
IRJET- Waste Management System with ThingspeakIRJET Journal
 
Artificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEArtificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEMercy Martina
 
Biometric Iris Recognition Based on Hybrid Technique
Biometric Iris Recognition Based on Hybrid Technique  Biometric Iris Recognition Based on Hybrid Technique
Biometric Iris Recognition Based on Hybrid Technique ijsc
 
Improving the accuracy of fingerprinting system using multibiometric approach
Improving the accuracy of fingerprinting system using multibiometric approachImproving the accuracy of fingerprinting system using multibiometric approach
Improving the accuracy of fingerprinting system using multibiometric approachIJERA Editor
 

Similaire à Rapid Characterization of Multiple Regions of Interest in a Sample Using Automated IR Microscopy (20)

Detection and Identification of Contaminations in the Manufacturing Process U...
Detection and Identification of Contaminations in the Manufacturing Process U...Detection and Identification of Contaminations in the Manufacturing Process U...
Detection and Identification of Contaminations in the Manufacturing Process U...
 
Characterizing Polymenr Laminates Using IR Microscopy
Characterizing Polymenr Laminates Using IR MicroscopyCharacterizing Polymenr Laminates Using IR Microscopy
Characterizing Polymenr Laminates Using IR Microscopy
 
Artificial Intelligence and Machine Learning Operated Pesticide Sprayer
Artificial Intelligence and Machine Learning Operated Pesticide SprayerArtificial Intelligence and Machine Learning Operated Pesticide Sprayer
Artificial Intelligence and Machine Learning Operated Pesticide Sprayer
 
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation Algorithm
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation AlgorithmIRJET-Automatic RBC And WBC Counting using Watershed Segmentation Algorithm
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation Algorithm
 
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...
IRJET -  	  Real-Time Analysis of Video Surveillance using Machine Learning a...IRJET -  	  Real-Time Analysis of Video Surveillance using Machine Learning a...
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...
 
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...IRJET - Automating the Identification of Forest Animals and Alerting in Case ...
IRJET - Automating the Identification of Forest Animals and Alerting in Case ...
 
Authentication Using Hand Vein Pattern
Authentication Using Hand Vein PatternAuthentication Using Hand Vein Pattern
Authentication Using Hand Vein Pattern
 
Pharmaceutical imaging techniques (2)
Pharmaceutical imaging techniques (2)Pharmaceutical imaging techniques (2)
Pharmaceutical imaging techniques (2)
 
Spotlight 150i and 200i
Spotlight 150i and 200iSpotlight 150i and 200i
Spotlight 150i and 200i
 
Spotlight 150i-200i-specifications english
Spotlight 150i-200i-specifications englishSpotlight 150i-200i-specifications english
Spotlight 150i-200i-specifications english
 
Viserion raman spectroscopy for biotechnnology and chemistery (2)
Viserion raman spectroscopy for biotechnnology and chemistery (2)Viserion raman spectroscopy for biotechnnology and chemistery (2)
Viserion raman spectroscopy for biotechnnology and chemistery (2)
 
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...
A State-of-the-art Review on Dielectric fluid in Electric Discharge Machining...
 
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...
Non-Invasive ABCD Monitoring of Malignant Melanoma Using Image Processing in ...
 
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
 
Machine vision project
Machine vision projectMachine vision project
Machine vision project
 
IRJET- Waste Management System with Thingspeak
IRJET- Waste Management System with ThingspeakIRJET- Waste Management System with Thingspeak
IRJET- Waste Management System with Thingspeak
 
Artificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEArtificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSE
 
Biometric Iris Recognition Based on Hybrid Technique
Biometric Iris Recognition Based on Hybrid Technique  Biometric Iris Recognition Based on Hybrid Technique
Biometric Iris Recognition Based on Hybrid Technique
 
Biometric.docx
Biometric.docxBiometric.docx
Biometric.docx
 
Improving the accuracy of fingerprinting system using multibiometric approach
Improving the accuracy of fingerprinting system using multibiometric approachImproving the accuracy of fingerprinting system using multibiometric approach
Improving the accuracy of fingerprinting system using multibiometric approach
 

Plus de PerkinElmer, Inc.

Detectando a Pré Eclampsia no 1º Trimestre
Detectando a Pré Eclampsia no 1º TrimestreDetectando a Pré Eclampsia no 1º Trimestre
Detectando a Pré Eclampsia no 1º TrimestrePerkinElmer, Inc.
 
As Tecnologias que Definem o Desempenho
As Tecnologias que Definem o DesempenhoAs Tecnologias que Definem o Desempenho
As Tecnologias que Definem o DesempenhoPerkinElmer, Inc.
 
GCMS Portátil: Análises em 5 minutos!
GCMS Portátil: Análises em 5 minutos!GCMS Portátil: Análises em 5 minutos!
GCMS Portátil: Análises em 5 minutos!PerkinElmer, Inc.
 
Nós transformamos complexidade em simplicidade
Nós transformamos complexidade em simplicidadeNós transformamos complexidade em simplicidade
Nós transformamos complexidade em simplicidadePerkinElmer, Inc.
 
Janus G3: Rapidez e Automação que você precisa.
Janus G3: Rapidez e Automação que você precisa.Janus G3: Rapidez e Automação que você precisa.
Janus G3: Rapidez e Automação que você precisa.PerkinElmer, Inc.
 
Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?PerkinElmer, Inc.
 
Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?PerkinElmer, Inc.
 
O Mercado da Carne no Brasil
O Mercado da Carne no BrasilO Mercado da Carne no Brasil
O Mercado da Carne no BrasilPerkinElmer, Inc.
 
KITS de Preparo para Biblioteca NGS
KITS de Preparo para Biblioteca NGSKITS de Preparo para Biblioteca NGS
KITS de Preparo para Biblioteca NGSPerkinElmer, Inc.
 
Escolha um parceiro e não um fornecedor
Escolha um parceiro e não um fornecedorEscolha um parceiro e não um fornecedor
Escolha um parceiro e não um fornecedorPerkinElmer, Inc.
 
Eletroforese Capilar Automatizada
Eletroforese Capilar Automatizada Eletroforese Capilar Automatizada
Eletroforese Capilar Automatizada PerkinElmer, Inc.
 
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OES
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OESAnalysis of Trace Elements in Fertilizer with AVIO 200 ICP-OES
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OESPerkinElmer, Inc.
 
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...PerkinElmer, Inc.
 
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...PerkinElmer, Inc.
 
High Quality DNA Isolation Suitable for Ultra Rapid Sequencing
High Quality DNA Isolation Suitable for Ultra Rapid SequencingHigh Quality DNA Isolation Suitable for Ultra Rapid Sequencing
High Quality DNA Isolation Suitable for Ultra Rapid SequencingPerkinElmer, Inc.
 

Plus de PerkinElmer, Inc. (20)

Detectando a Pré Eclampsia no 1º Trimestre
Detectando a Pré Eclampsia no 1º TrimestreDetectando a Pré Eclampsia no 1º Trimestre
Detectando a Pré Eclampsia no 1º Trimestre
 
É A VEZ DO PRIME
É A VEZ DO PRIMEÉ A VEZ DO PRIME
É A VEZ DO PRIME
 
TREC PARA A VIDA
TREC PARA A VIDATREC PARA A VIDA
TREC PARA A VIDA
 
As Tecnologias que Definem o Desempenho
As Tecnologias que Definem o DesempenhoAs Tecnologias que Definem o Desempenho
As Tecnologias que Definem o Desempenho
 
GCMS Portátil: Análises em 5 minutos!
GCMS Portátil: Análises em 5 minutos!GCMS Portátil: Análises em 5 minutos!
GCMS Portátil: Análises em 5 minutos!
 
Nós transformamos complexidade em simplicidade
Nós transformamos complexidade em simplicidadeNós transformamos complexidade em simplicidade
Nós transformamos complexidade em simplicidade
 
Janus G3: Rapidez e Automação que você precisa.
Janus G3: Rapidez e Automação que você precisa.Janus G3: Rapidez e Automação que você precisa.
Janus G3: Rapidez e Automação que você precisa.
 
Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?
 
Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?Como a PerkinElmer contribui para diagnósticos mais rápidos?
Como a PerkinElmer contribui para diagnósticos mais rápidos?
 
Aspirina Vs Pré Eclampsia
Aspirina Vs Pré Eclampsia Aspirina Vs Pré Eclampsia
Aspirina Vs Pré Eclampsia
 
O Mercado da Carne no Brasil
O Mercado da Carne no BrasilO Mercado da Carne no Brasil
O Mercado da Carne no Brasil
 
KITS de Preparo para Biblioteca NGS
KITS de Preparo para Biblioteca NGSKITS de Preparo para Biblioteca NGS
KITS de Preparo para Biblioteca NGS
 
O que é X Frágil?
O que é X Frágil?O que é X Frágil?
O que é X Frágil?
 
Escolha um parceiro e não um fornecedor
Escolha um parceiro e não um fornecedorEscolha um parceiro e não um fornecedor
Escolha um parceiro e não um fornecedor
 
Eletroforese Capilar Automatizada
Eletroforese Capilar Automatizada Eletroforese Capilar Automatizada
Eletroforese Capilar Automatizada
 
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OES
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OESAnalysis of Trace Elements in Fertilizer with AVIO 200 ICP-OES
Analysis of Trace Elements in Fertilizer with AVIO 200 ICP-OES
 
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
 
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...
New Research Evaluating Cisplatin Uptake in Ovarian Cancer Cells by Single Ce...
 
CG Clarus® All In One
CG Clarus® All In OneCG Clarus® All In One
CG Clarus® All In One
 
High Quality DNA Isolation Suitable for Ultra Rapid Sequencing
High Quality DNA Isolation Suitable for Ultra Rapid SequencingHigh Quality DNA Isolation Suitable for Ultra Rapid Sequencing
High Quality DNA Isolation Suitable for Ultra Rapid Sequencing
 

Dernier

Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)GRAPE
 
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdf
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdfSUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdf
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdfsantiagojoderickdoma
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestAkashDTejwani
 
PSP3 employability assessment form .docx
PSP3 employability assessment form .docxPSP3 employability assessment form .docx
PSP3 employability assessment form .docxmarwaahmad357
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptxVaishnaviAware
 
Krishi Vigyan Kendras - कृषि विज्ञान केंद्र
Krishi Vigyan Kendras - कृषि विज्ञान केंद्रKrishi Vigyan Kendras - कृषि विज्ञान केंद्र
Krishi Vigyan Kendras - कृषि विज्ञान केंद्रKrashi Coaching
 
RCPE terms and cycles scenarios as of March 2024
RCPE terms and cycles scenarios as of March 2024RCPE terms and cycles scenarios as of March 2024
RCPE terms and cycles scenarios as of March 2024suelcarter1
 
Basic Concepts in Pharmacology in molecular .pptx
Basic Concepts in Pharmacology in molecular  .pptxBasic Concepts in Pharmacology in molecular  .pptx
Basic Concepts in Pharmacology in molecular .pptxVijayaKumarR28
 
soft skills question paper set for bba ca
soft skills question paper set for bba casoft skills question paper set for bba ca
soft skills question paper set for bba caohsadfeeling
 
Lehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptLehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptSachin Teotia
 
Pests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPirithiRaju
 
CW marking grid Analytical BS - M Ahmad.docx
CW  marking grid Analytical BS - M Ahmad.docxCW  marking grid Analytical BS - M Ahmad.docx
CW marking grid Analytical BS - M Ahmad.docxmarwaahmad357
 
IB Biology New syllabus B3.2 Transport.pptx
IB Biology New syllabus B3.2 Transport.pptxIB Biology New syllabus B3.2 Transport.pptx
IB Biology New syllabus B3.2 Transport.pptxUalikhanKalkhojayev1
 
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxSCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxROVELYNEDELUNA3
 
MARSILEA notes in detail for II year Botany.ppt
MARSILEA  notes in detail for II year Botany.pptMARSILEA  notes in detail for II year Botany.ppt
MARSILEA notes in detail for II year Botany.pptaigil2
 
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxTHE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxAkinrotimiOluwadunsi
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearmarwaahmad357
 
Gene transfer in plants agrobacterium.pdf
Gene transfer in plants agrobacterium.pdfGene transfer in plants agrobacterium.pdf
Gene transfer in plants agrobacterium.pdfNetHelix
 

Dernier (20)

Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)
 
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdf
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdfSUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdf
SUKDANAN DIAGNOSTIC TEST IN PHYSICAL SCIENCE ANSWER KEYY.pdf
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening Test
 
PSP3 employability assessment form .docx
PSP3 employability assessment form .docxPSP3 employability assessment form .docx
PSP3 employability assessment form .docx
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptx
 
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
 
Krishi Vigyan Kendras - कृषि विज्ञान केंद्र
Krishi Vigyan Kendras - कृषि विज्ञान केंद्रKrishi Vigyan Kendras - कृषि विज्ञान केंद्र
Krishi Vigyan Kendras - कृषि विज्ञान केंद्र
 
RCPE terms and cycles scenarios as of March 2024
RCPE terms and cycles scenarios as of March 2024RCPE terms and cycles scenarios as of March 2024
RCPE terms and cycles scenarios as of March 2024
 
Basic Concepts in Pharmacology in molecular .pptx
Basic Concepts in Pharmacology in molecular  .pptxBasic Concepts in Pharmacology in molecular  .pptx
Basic Concepts in Pharmacology in molecular .pptx
 
soft skills question paper set for bba ca
soft skills question paper set for bba casoft skills question paper set for bba ca
soft skills question paper set for bba ca
 
Lehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.pptLehninger_Chapter 17_Fatty acid Oxid.ppt
Lehninger_Chapter 17_Fatty acid Oxid.ppt
 
Pests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPRPests of tenai_Identification,Binomics_Dr.UPR
Pests of tenai_Identification,Binomics_Dr.UPR
 
CW marking grid Analytical BS - M Ahmad.docx
CW  marking grid Analytical BS - M Ahmad.docxCW  marking grid Analytical BS - M Ahmad.docx
CW marking grid Analytical BS - M Ahmad.docx
 
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
 
IB Biology New syllabus B3.2 Transport.pptx
IB Biology New syllabus B3.2 Transport.pptxIB Biology New syllabus B3.2 Transport.pptx
IB Biology New syllabus B3.2 Transport.pptx
 
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptxSCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
SCIENCE 6 QUARTER 3 REVIEWER(FRICTION, GRAVITY, ENERGY AND SPEED).pptx
 
MARSILEA notes in detail for II year Botany.ppt
MARSILEA  notes in detail for II year Botany.pptMARSILEA  notes in detail for II year Botany.ppt
MARSILEA notes in detail for II year Botany.ppt
 
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxTHE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final year
 
Gene transfer in plants agrobacterium.pdf
Gene transfer in plants agrobacterium.pdfGene transfer in plants agrobacterium.pdf
Gene transfer in plants agrobacterium.pdf
 

Rapid Characterization of Multiple Regions of Interest in a Sample Using Automated IR Microscopy

  • 1. Introduction IR microscopy is a well-established analytical technique for the measurement and identification of small samples down to a few micrometers in size. It is used extensively in the polymer, pharmaceutical, chemical, food, and electronics industries, to name a few, often identifying small contaminations or foreign objects of unknown origin. In forensic applications small particles of materials such as drugs, paint chips, residues or fibers are often collected as evidence and analyzed by IR microscopy. The type and size of the material, as well as the matrix in which the sample is contained, will dictate the type of IR microscopy sampling technique to be deployed; transmission, reflectance, or ATR. The Spotlight™ 200i IR microscope is a fully automated system comprising: • Automated X, Y, Z stage • Automatic illxumination LEDs • Autofocus • Auto correction • Automated switching between transmission and reflectance • Automated dropdown ATR crystal All of these features are controlled using the Spectrum 10 software. Rapid Characterization of Multiple Regions of Interest in a Sample Using Automated IR Microscopy A P P L I C A T I O N N O T E Author: Ian Robertson PerkinElmer, Inc. Seer Green, UK Infrared, IR Microscopy
  • 2. 2 This routine will detect any particles present in the visible image and mark them as regions of interest. It will then calculate the maximum rectangular aperture size that can fit wholly inside each of the particles, thus minimizing signal-to-noise when the data is scanned. (In the past manual selection of the regions of interest and setting of apertures took a considerable amount of time.) Clicking “Scan Markers” will then initiate collecting transmission spectra (using equivalent apertures for the background) for each sample, displaying ratioed sample spectra in real time as they are collected. Automatic processing of the spectra, such as Search, Compare or Verify, will be performed during data collection. In the case of the analysis of the microplastics a spectral search was performed against a library of polymer spectra to give the identity of each of the particles. Two different polymer types were detected in this sample, identified as polyethylene and polypropylene. The spectra are shown in Figure 3. Automated detection and analysis of microplastics extracted from a cosmetic formulation An example of this automation is the detection and classification of microplastic particles extracted from a cosmetic formulation. Cosmetic exfoliating agents contain small microplastic particles as the abrasive material to scrub the skin. These microplastics make their way into the river systems and ultimately into the marine environment where they are serious pollutants. A commercially available product was mixed with hot water to dissolve the soluble ingredients in the formulation. The resulting solution was filtered using a 50-micrometer mesh, capturing any insoluble components greater than 50 micrometers in size. The filter was allowed to dry before transferring the residual particles onto an IR transmitting window on a microscope holder. A Visible Image Survey was collected over the area containing the majority of the particles. Selecting the “Analyze Image” icon in the Spectrum 10 software calls up the intelligent, automated routine for analyzing the image, as shown in Figure 1. Figure 1: The "Analyze Image" function detected filtered particles deposited on a KBr window. Figure 3: Spectra of the two different polymer types are shown here. Top: polypropylene, Bottom: polyethylene. Figure 2: Results screen for detection and identification of particles. Traditionally, measurement of a sample on an IR microscope involves several manual steps to find and specify the regions of interest for the analysis and manual processing of the collected data. All of which can be very time consuming. These processes have now been fully automated within the Spectrum 10 software, using intelligent detection routines for the typical types of samples measured on an IR microscope: particles, multilayer samples, and sample inclusions. This Application Note will demonstrate the advantages of such an automated IR microscopy platform for the characterization of particles and/or foreign objects in different types of materials.
  • 3. 3 Automated detection and analysis of contaminants on an electronic contact Electronic contacts need to be clean and free from contamination to avoid problems in operation. A sample was submitted for analysis that had visible contaminants. The sample was placed in the Spotlight 200i and a “Visible Image Survey” collected over the entire contact. The resulting image was then analyzed using the “Detect Particles” function in the Spectrum 10 software in an attempt to find any contamination. The Visible Image Survey and an expanded region showing the particles detected are shown as Figure 4. After selecting “Scan Markers”, the software automatically collected reflectance backgrounds and spectra for the particles (fibers), their spectra shown as Figure 5. Five different layers were detected in the image and markers placed in the center of each layer. Clicking “Scan Markers” will automatically collect the background scans then move to each of the markers, lower the automated ATR crystal onto the sample (Figure 7), and measure the spectra. The spectra obtained from each of the layers are shown in Figure 8 and were identified by comparison against search libraries. Figure 4: The Visible Image Survey and expanded region show automatic detection of contaminants. Figure 5: Reflectance spectra of the two contaminant fibers. Figure 6: Automated detection feature of the Spotlight 200i show multiple layers in a polymer laminate. The spectra of these two materials are similar with the lower spectrum showing an additional broad peak centred around 700 cm-1. The top spectrum was identified as an acrylonitrile-butyl methacrylate copolymer by searching the spectrum against a spectral library of polymers and polymer additives. Since the lower spectrum clearly has another component present, it was subjected to a mixture search that also detected the presence of tin oxide in the sample. Automated ATR analysis of layers in a polymer laminate ATR is a convenient sampling technique requiring minimal sample preparation that has been routinely applied within the polymer industry. An automated drop-down ATR crystal on an IR microscope allows for automated measurement of polymer samples, including layers of multilayer laminates. A multilayer polymer card was clamped in a sample holder and placed on the stage of the Spotlight 200i. A “Visible Image Survey” was recorded over a 2 mm x 2 mm area of the sample and the automated “Detect Layers” function in the Spectrum 10 software was applied, as shown in Figure 6.
  • 4. For a complete listing of our global offices, visit www.perkinelmer.com/ContactUs Copyright ©2015, PerkinElmer, Inc. All rights reserved. PerkinElmer® is a registered trademark of PerkinElmer, Inc. All other trademarks are the property of their respective owners. 012075_01 PKI PerkinElmer, Inc. 940 Winter Street Waltham, MA 02451 USA P: (800) 762-4000 or (+1) 203-925-4602 www.perkinelmer.com Figure 7: The automated dropdown ATR crystal. Figure 8: Spectra of the five layers. The layers were identified from top to bottom as Polyethylene terephthalate (PET), ethylene-vinyl acetate (EVA) co-polymer, silica- loaded polyethylene, another layer of EVA and another layer of PET. Summary The Spotlight 200i, an intelligent automated IR microscope system, is able to simplify and dramatically speed up the process of collecting and analyzing spectra from a variety of sample types. The automation has been applied to all sampling modes: Transmission, Reflectance, and ATR, as well as a variety of different sample types: particles, fibers and multi-layers.