SlideShare ist ein Scribd-Unternehmen logo
1 von 52
M.S Thesis Defense 24 th  November 2008 Dipen Rana Graduate Student Translational Research, Garner Lab UT Southwestern Medical Center at Dallas Integration of Hyperspectral Imaging Microscopy for  Pathology Applications
Outline
Reasons for using optical imaging  in Medical Diagnostics ,[object Object],[object Object],[object Object],Action at Cellular Level Cellular Interactions Non -destructive Changes at cellular level occur well before anatomic changes Generates the need to study structural and functional state of individual cells
Fluorescence: The Basic Principle 1=  absorbance of light (excitation) 2=  vibrational  relaxation (stokes shift ) 3=  emission of light http://www.olympusmicro.com/primer/techniques/fluorescence/introduction.html; invitrogen Interactions of molecules with light
[object Object],Fluorophores  – Cell Labeling
Fluorophores  – Cell Labeling
Fluorophores  – Cell Labeling
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fluorophores  – Cell Labeling
Imaging with fluorophores- A pathology  perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Multi- Color Labeling  Obstacles
Multispectral Imaging ,[object Object],[object Object],[object Object],[object Object],True, Lawrence et al.,  Quantum Dots for Molecular Pathology
Hyperspectral Imaging: Voluminous data! ,[object Object],photometrics
[object Object],[object Object]
Hyperspectral Imaging Microscopy (HMI) System Workstation Overview
Outline
Hypothesis for Integration of Hyperspectral Imaging Microscopy System  ,[object Object],[object Object]
Outline
Hyperspectral Imaging Microscopy System
System specifications for visible range ,[object Object],[object Object],[object Object],[object Object],[object Object]
Hyperspectral  data cube provides  3 dimensional data Collecting a stack of Y- λ  images by moving the stage incrementally in X direction creates a 3 dimensional “hyperspectral data cube”
Efficiency of Camera and spectrograph for generating high resolution hyperspectral data Slit Width
Specifications of a data acquisition for HMI system  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outline
Xanoscope: The Hyperspectral Imaging microscopy system ,[object Object],[object Object]
Architecture of Xanoscope
Initializing Xanoscope with default or last saved parameters
Adjusting the parameters of individual  components for dynamic control
Dynamic control over  CCD camera  ,[object Object],[object Object],[object Object],[object Object]
Controlling resolution to improve SNR and frame readout speed
Controlling resolution to improve SNR and frame readout speed 1X1 binning 1536X1024 pixels 2X2 binning 768X512 pixels 2X2 SNR = 4* Signal/ sqrt(4*Noise)   = 2 [Signal/sqrt(Noise)] 1X1 SNR = Signal/ sqrt(Noise)
Custom settings for scan parameters
Sample scan preview along with scan information & Image Intensity values for quick reference
Sample scan preview along with scan information & Image Intensity values for quick reference
Saving the raw data files at user defined location for further analysis Raw data files are in binary format
Composite hyperspectral image cube build using raw data files along with quick analysis from composite image
Point spectrum and row spectrum for quick review of composite images
Outline
Determination of Spatial Resolution of Xanoscope images
Fast and Furious: 40 images in ~ 3minute for a 3sec exposure ,[object Object]
Validating CCD linearity for quantitative measurements made using Xanoscope
Validating the gain settings for Xanoscope
Validating accumulations used in Xanoscope for improving Signal to noise ratio in low light   imaging
Validating accumulations used in Xanoscope for improving Signal to noise ratio in low light   imaging mimicking smoothness First image with low SNR ratio Accumulated images with smoothness effect
High precision control over stage to avoid overlapping of images  1  2  3  4  5 Image is captured at 80µm slit width and 40X objective lens Minimum stage step resolution= 0.2µm  Total number steps moved for each image= (80/40)/0.2= 10 steps Total number steps moved for 5 images = 50 steps = 50 * 0.2 =10 μ m each division = 10µm
Performance Evaluation of Xanoscope by scanning 10 multiplexed fluorophores in different cell lines  Samples  provided by Uhr lab at Cancer immunobiology center, UTSW MCF7 – breast cancer   Daudi- Human Burkitt's lymphoma cell line  TP – patient breast cancer  cells Normal breast cells from breast cancer reduction
Linear unmixing of multiplexed fluorophores to measure its individual contribution …………………………………………………… .2
Analysis of  multiplexed fluorophores by linear unmixing of its  overlapping spectra  Standard emission spectrum of 10 fluorophores Contributions of each fluorophore at a pixel in an image
Visualization of individual contribution of 10 fluorophore-antibody conjugates in cell lines & touch preps
Statistical analysis of individual contribution of 10 fluorophore-antibody conjugates in cell lines & touch preps
Summary ,[object Object],[object Object],[object Object]
Future Work ,[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 

Weitere ähnliche Inhalte

Was ist angesagt?

Computed radiography
Computed radiographyComputed radiography
Computed radiographyIllyasmk
 
Ready-Dissertation-29June2016
Ready-Dissertation-29June2016Ready-Dissertation-29June2016
Ready-Dissertation-29June2016John Ready
 
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...sipij
 
Flat Panel Digital Fluoroscopy by Akash Das
Flat Panel Digital Fluoroscopy by Akash Das Flat Panel Digital Fluoroscopy by Akash Das
Flat Panel Digital Fluoroscopy by Akash Das AkashDas169
 
Principles and application of PET CT & PET MR
Principles and application of PET CT & PET MRPrinciples and application of PET CT & PET MR
Principles and application of PET CT & PET MRcharusmita chaudhary
 
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱algous
 
Infrared image enhancement using wavelet transform
Infrared image enhancement using wavelet transformInfrared image enhancement using wavelet transform
Infrared image enhancement using wavelet transformAlexander Decker
 
Derivative spectroscopy and applications of uv vis spectroscopy
Derivative spectroscopy and applications of uv vis spectroscopyDerivative spectroscopy and applications of uv vis spectroscopy
Derivative spectroscopy and applications of uv vis spectroscopyNayeemaKhowser
 
Layal's 1st year Presentation
Layal's 1st year PresentationLayal's 1st year Presentation
Layal's 1st year PresentationLayal Jambi
 
Derivative spectrophotometry
Derivative spectrophotometryDerivative spectrophotometry
Derivative spectrophotometryRahul Krishnan
 
Introduction to digital radiography and pacs
Introduction to digital radiography and pacsIntroduction to digital radiography and pacs
Introduction to digital radiography and pacsRad Tech
 
Coins Poster_Ivan Felix_Final_1
Coins Poster_Ivan Felix_Final_1Coins Poster_Ivan Felix_Final_1
Coins Poster_Ivan Felix_Final_1Ivan Felix
 

Was ist angesagt? (20)

Computed radiography
Computed radiographyComputed radiography
Computed radiography
 
Ready-Dissertation-29June2016
Ready-Dissertation-29June2016Ready-Dissertation-29June2016
Ready-Dissertation-29June2016
 
sources of imges
sources of imgessources of imges
sources of imges
 
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
S IGNAL A ND I MAGE P ROCESSING OF O PTICAL C OHERENCE T OMOGRAPHY AT 1310 NM...
 
CR & DR
CR & DRCR & DR
CR & DR
 
Flat Panel Digital Fluoroscopy by Akash Das
Flat Panel Digital Fluoroscopy by Akash Das Flat Panel Digital Fluoroscopy by Akash Das
Flat Panel Digital Fluoroscopy by Akash Das
 
Digital Radiography
Digital RadiographyDigital Radiography
Digital Radiography
 
Principles and application of PET CT & PET MR
Principles and application of PET CT & PET MRPrinciples and application of PET CT & PET MR
Principles and application of PET CT & PET MR
 
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱
上海必和 Advancements in hyperspectral and multi-spectral ima超光谱高光谱多光谱
 
Cr system ABHISHEK
Cr system ABHISHEKCr system ABHISHEK
Cr system ABHISHEK
 
G017513945
G017513945G017513945
G017513945
 
Phosphorimager
PhosphorimagerPhosphorimager
Phosphorimager
 
Infrared image enhancement using wavelet transform
Infrared image enhancement using wavelet transformInfrared image enhancement using wavelet transform
Infrared image enhancement using wavelet transform
 
Derivative spectroscopy and applications of uv vis spectroscopy
Derivative spectroscopy and applications of uv vis spectroscopyDerivative spectroscopy and applications of uv vis spectroscopy
Derivative spectroscopy and applications of uv vis spectroscopy
 
Layal's 1st year Presentation
Layal's 1st year PresentationLayal's 1st year Presentation
Layal's 1st year Presentation
 
11
1111
11
 
spect and pet
spect and petspect and pet
spect and pet
 
Derivative spectrophotometry
Derivative spectrophotometryDerivative spectrophotometry
Derivative spectrophotometry
 
Introduction to digital radiography and pacs
Introduction to digital radiography and pacsIntroduction to digital radiography and pacs
Introduction to digital radiography and pacs
 
Coins Poster_Ivan Felix_Final_1
Coins Poster_Ivan Felix_Final_1Coins Poster_Ivan Felix_Final_1
Coins Poster_Ivan Felix_Final_1
 

Andere mochten auch

Medical Imaging Seminar Session 2
Medical Imaging Seminar Session 2Medical Imaging Seminar Session 2
Medical Imaging Seminar Session 2Space IDEAS Hub
 
IMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
IMAGE PROCESSING - MATHANKUMAR.S - VMKVECIMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
IMAGE PROCESSING - MATHANKUMAR.S - VMKVECMathankumar S
 
Digital imaging with charge coupled devices
Digital imaging with charge coupled devicesDigital imaging with charge coupled devices
Digital imaging with charge coupled devicesSteven Shaw
 
A novel data embedding method using adaptive pixel
A novel data embedding method using adaptive pixelA novel data embedding method using adaptive pixel
A novel data embedding method using adaptive pixelRenuka Verma
 
Data Explosion in Medical Imaging
Data Explosion in Medical ImagingData Explosion in Medical Imaging
Data Explosion in Medical ImagingShourya Sarcar
 
introduction_to_medical_imaging
introduction_to_medical_imagingintroduction_to_medical_imaging
introduction_to_medical_imagingrezgar Shahi
 
Introduction to Medical Imaging (informatics approach)
Introduction to Medical Imaging (informatics approach)Introduction to Medical Imaging (informatics approach)
Introduction to Medical Imaging (informatics approach)Farzad Jahedi
 
Medical imaging summary 1
Medical imaging summary 1Medical imaging summary 1
Medical imaging summary 1sirrainbow
 
Pp3 - Pixel Perfect Precision V3
Pp3 - Pixel Perfect Precision V3Pp3 - Pixel Perfect Precision V3
Pp3 - Pixel Perfect Precision V3Olybop .fr
 
Digital radiography-Avinesh Shrestha
Digital radiography-Avinesh ShresthaDigital radiography-Avinesh Shrestha
Digital radiography-Avinesh ShresthaAvinesh Shrestha
 
8K RESOLUTION CAMERA SYSTEM
8K RESOLUTION CAMERA SYSTEM8K RESOLUTION CAMERA SYSTEM
8K RESOLUTION CAMERA SYSTEMArun Raj
 
DICOM Structure Basics
DICOM Structure BasicsDICOM Structure Basics
DICOM Structure BasicsGunjan Patel
 
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...Yole Developpement
 
Rad phy digital radiography
Rad phy digital radiographyRad phy digital radiography
Rad phy digital radiographyRad Tech
 
Applications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldApplications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldAshwani Srivastava
 

Andere mochten auch (20)

Glossary
GlossaryGlossary
Glossary
 
Medical Imaging Seminar Session 2
Medical Imaging Seminar Session 2Medical Imaging Seminar Session 2
Medical Imaging Seminar Session 2
 
IMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
IMAGE PROCESSING - MATHANKUMAR.S - VMKVECIMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
IMAGE PROCESSING - MATHANKUMAR.S - VMKVEC
 
Digital imaging with charge coupled devices
Digital imaging with charge coupled devicesDigital imaging with charge coupled devices
Digital imaging with charge coupled devices
 
A novel data embedding method using adaptive pixel
A novel data embedding method using adaptive pixelA novel data embedding method using adaptive pixel
A novel data embedding method using adaptive pixel
 
Data Explosion in Medical Imaging
Data Explosion in Medical ImagingData Explosion in Medical Imaging
Data Explosion in Medical Imaging
 
introduction_to_medical_imaging
introduction_to_medical_imagingintroduction_to_medical_imaging
introduction_to_medical_imaging
 
Dip review
Dip reviewDip review
Dip review
 
Raskar Computational Camera Fall 2009 Lecture 01
Raskar Computational Camera Fall 2009 Lecture 01Raskar Computational Camera Fall 2009 Lecture 01
Raskar Computational Camera Fall 2009 Lecture 01
 
Introduction to Medical Imaging
Introduction to Medical ImagingIntroduction to Medical Imaging
Introduction to Medical Imaging
 
Introduction to Medical Imaging (informatics approach)
Introduction to Medical Imaging (informatics approach)Introduction to Medical Imaging (informatics approach)
Introduction to Medical Imaging (informatics approach)
 
Medical imaging summary 1
Medical imaging summary 1Medical imaging summary 1
Medical imaging summary 1
 
Pp3 - Pixel Perfect Precision V3
Pp3 - Pixel Perfect Precision V3Pp3 - Pixel Perfect Precision V3
Pp3 - Pixel Perfect Precision V3
 
Digital radiography-Avinesh Shrestha
Digital radiography-Avinesh ShresthaDigital radiography-Avinesh Shrestha
Digital radiography-Avinesh Shrestha
 
8K RESOLUTION CAMERA SYSTEM
8K RESOLUTION CAMERA SYSTEM8K RESOLUTION CAMERA SYSTEM
8K RESOLUTION CAMERA SYSTEM
 
DICOM Structure Basics
DICOM Structure BasicsDICOM Structure Basics
DICOM Structure Basics
 
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...
Solid State Medical Imaging: X-ray and Endoscopy 2014 Report by Yole Developp...
 
Rad phy digital radiography
Rad phy digital radiographyRad phy digital radiography
Rad phy digital radiography
 
Applications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldApplications of Digital image processing in Medical Field
Applications of Digital image processing in Medical Field
 
Exclusively Yours Card Gains Rave Reviews - Motivation Products Annual 1996
Exclusively Yours Card Gains Rave Reviews - Motivation Products Annual 1996 Exclusively Yours Card Gains Rave Reviews - Motivation Products Annual 1996
Exclusively Yours Card Gains Rave Reviews - Motivation Products Annual 1996
 

Ähnlich wie Linkedin

International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...CSCJournals
 
Guillet mottin 2005 spie_ 5964
Guillet mottin 2005 spie_ 5964Guillet mottin 2005 spie_ 5964
Guillet mottin 2005 spie_ 5964Stéphane MOTTIN
 
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging ThanhNguyenNguyen10
 
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGING
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGINGINTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGING
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGINGMadhavi Tippani
 
Formatted Invited SPIE paper (2)
Formatted Invited SPIE paper (2)Formatted Invited SPIE paper (2)
Formatted Invited SPIE paper (2)Alpha Mansaray
 
(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging
(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging
(September 20, 2023) Webinar: An Introduction to Photoacoustic ImagingScintica Instrumentation
 
Purkinje imaging for crystalline lens density measurement
Purkinje imaging for crystalline lens density measurementPurkinje imaging for crystalline lens density measurement
Purkinje imaging for crystalline lens density measurementPetteriTeikariPhD
 
A Infrared hyperspectral imaging technique for non-invasive cancer detection.
A Infrared hyperspectral imaging technique for non-invasive cancer detection.A Infrared hyperspectral imaging technique for non-invasive cancer detection.
A Infrared hyperspectral imaging technique for non-invasive cancer detection.IJERD Editor
 
cse Optical coherence tomography ppt.pptx
cse Optical coherence tomography ppt.pptxcse Optical coherence tomography ppt.pptx
cse Optical coherence tomography ppt.pptxssuser3b0320
 
Confocal microscopy by prabhat
Confocal microscopy by prabhatConfocal microscopy by prabhat
Confocal microscopy by prabhatPrabhat Kumar
 
Contributions to Bionic Eye Research
Contributions to Bionic Eye ResearchContributions to Bionic Eye Research
Contributions to Bionic Eye ResearchDarien Pardinas Diaz
 
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...Scintica Instrumentation
 
Vcu Chemistry Reasearch Facilities
Vcu Chemistry Reasearch FacilitiesVcu Chemistry Reasearch Facilities
Vcu Chemistry Reasearch FacilitiesJoseph Turner 'Jody'
 

Ähnlich wie Linkedin (20)

Vevo LAZR-X Brochure mkt02906 v1.0
Vevo LAZR-X Brochure mkt02906 v1.0Vevo LAZR-X Brochure mkt02906 v1.0
Vevo LAZR-X Brochure mkt02906 v1.0
 
Sd oct
Sd octSd oct
Sd oct
 
International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (1) Issue...
 
Guillet mottin 2005 spie_ 5964
Guillet mottin 2005 spie_ 5964Guillet mottin 2005 spie_ 5964
Guillet mottin 2005 spie_ 5964
 
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
Raman and Coherent anti-Stokes Raman Scattering (CARS) Spectroscopy and Imaging
 
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGING
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGINGINTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGING
INTERACTIVE ANALYTICAL TOOL FOR CORNEAL CONFOCAL IMAGING
 
Formatted Invited SPIE paper (2)
Formatted Invited SPIE paper (2)Formatted Invited SPIE paper (2)
Formatted Invited SPIE paper (2)
 
(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging
(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging
(September 20, 2023) Webinar: An Introduction to Photoacoustic Imaging
 
spect .pptx
spect .pptxspect .pptx
spect .pptx
 
Povlishock, John
Povlishock, JohnPovlishock, John
Povlishock, John
 
OCT Machines
OCT Machines OCT Machines
OCT Machines
 
Purkinje imaging for crystalline lens density measurement
Purkinje imaging for crystalline lens density measurementPurkinje imaging for crystalline lens density measurement
Purkinje imaging for crystalline lens density measurement
 
A Infrared hyperspectral imaging technique for non-invasive cancer detection.
A Infrared hyperspectral imaging technique for non-invasive cancer detection.A Infrared hyperspectral imaging technique for non-invasive cancer detection.
A Infrared hyperspectral imaging technique for non-invasive cancer detection.
 
Oct(optical cohorence tomography)
Oct(optical cohorence tomography)Oct(optical cohorence tomography)
Oct(optical cohorence tomography)
 
cse Optical coherence tomography ppt.pptx
cse Optical coherence tomography ppt.pptxcse Optical coherence tomography ppt.pptx
cse Optical coherence tomography ppt.pptx
 
Confocal microscopy by prabhat
Confocal microscopy by prabhatConfocal microscopy by prabhat
Confocal microscopy by prabhat
 
Contributions to Bionic Eye Research
Contributions to Bionic Eye ResearchContributions to Bionic Eye Research
Contributions to Bionic Eye Research
 
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...
(May 17, 2021) Introducing the Newton 7.0 Optical Imaging System: The Modalit...
 
Hyperspectral Imaging
Hyperspectral ImagingHyperspectral Imaging
Hyperspectral Imaging
 
Vcu Chemistry Reasearch Facilities
Vcu Chemistry Reasearch FacilitiesVcu Chemistry Reasearch Facilities
Vcu Chemistry Reasearch Facilities
 

Kürzlich hochgeladen

IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 

Kürzlich hochgeladen (20)

IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 

Linkedin

  • 1. M.S Thesis Defense 24 th November 2008 Dipen Rana Graduate Student Translational Research, Garner Lab UT Southwestern Medical Center at Dallas Integration of Hyperspectral Imaging Microscopy for Pathology Applications
  • 3.
  • 4. Fluorescence: The Basic Principle 1= absorbance of light (excitation) 2= vibrational relaxation (stokes shift ) 3= emission of light http://www.olympusmicro.com/primer/techniques/fluorescence/introduction.html; invitrogen Interactions of molecules with light
  • 5.
  • 6. Fluorophores – Cell Labeling
  • 7. Fluorophores – Cell Labeling
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. Hyperspectral Imaging Microscopy (HMI) System Workstation Overview
  • 15.
  • 18.
  • 19. Hyperspectral data cube provides 3 dimensional data Collecting a stack of Y- λ images by moving the stage incrementally in X direction creates a 3 dimensional “hyperspectral data cube”
  • 20. Efficiency of Camera and spectrograph for generating high resolution hyperspectral data Slit Width
  • 21.
  • 23.
  • 25. Initializing Xanoscope with default or last saved parameters
  • 26. Adjusting the parameters of individual components for dynamic control
  • 27.
  • 28. Controlling resolution to improve SNR and frame readout speed
  • 29. Controlling resolution to improve SNR and frame readout speed 1X1 binning 1536X1024 pixels 2X2 binning 768X512 pixels 2X2 SNR = 4* Signal/ sqrt(4*Noise) = 2 [Signal/sqrt(Noise)] 1X1 SNR = Signal/ sqrt(Noise)
  • 30. Custom settings for scan parameters
  • 31. Sample scan preview along with scan information & Image Intensity values for quick reference
  • 32. Sample scan preview along with scan information & Image Intensity values for quick reference
  • 33. Saving the raw data files at user defined location for further analysis Raw data files are in binary format
  • 34. Composite hyperspectral image cube build using raw data files along with quick analysis from composite image
  • 35. Point spectrum and row spectrum for quick review of composite images
  • 37. Determination of Spatial Resolution of Xanoscope images
  • 38.
  • 39. Validating CCD linearity for quantitative measurements made using Xanoscope
  • 40. Validating the gain settings for Xanoscope
  • 41. Validating accumulations used in Xanoscope for improving Signal to noise ratio in low light imaging
  • 42. Validating accumulations used in Xanoscope for improving Signal to noise ratio in low light imaging mimicking smoothness First image with low SNR ratio Accumulated images with smoothness effect
  • 43. High precision control over stage to avoid overlapping of images 1 2 3 4 5 Image is captured at 80µm slit width and 40X objective lens Minimum stage step resolution= 0.2µm Total number steps moved for each image= (80/40)/0.2= 10 steps Total number steps moved for 5 images = 50 steps = 50 * 0.2 =10 μ m each division = 10µm
  • 44. Performance Evaluation of Xanoscope by scanning 10 multiplexed fluorophores in different cell lines Samples provided by Uhr lab at Cancer immunobiology center, UTSW MCF7 – breast cancer Daudi- Human Burkitt's lymphoma cell line TP – patient breast cancer cells Normal breast cells from breast cancer reduction
  • 45. Linear unmixing of multiplexed fluorophores to measure its individual contribution …………………………………………………… .2
  • 46. Analysis of multiplexed fluorophores by linear unmixing of its overlapping spectra Standard emission spectrum of 10 fluorophores Contributions of each fluorophore at a pixel in an image
  • 47. Visualization of individual contribution of 10 fluorophore-antibody conjugates in cell lines & touch preps
  • 48. Statistical analysis of individual contribution of 10 fluorophore-antibody conjugates in cell lines & touch preps
  • 49.
  • 50.
  • 51.
  • 52.