Image acquisition and understanding in high-throughput high-resolution cell-based screening applications
Quantitative interpretation of microscope images is more challenging the higher the resolution of the images is. The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughp...
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creator | Liron, Y. Paran, Y. Lavelin, I. Naffar-Abu-Amara, S. Winograd-Katz, S. Geiger, B. Kam, Z. |
description | Quantitative interpretation of microscope images is more challenging the higher the resolution of the images is. The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. This system was successfully employed for screening of the effect of drugs, gene over-expression and siRNA of diverse cellular properties, including cell adhesion, migration, survival and cytoskeletal organization. |
doi_str_mv | 10.1109/ISBI.2008.4541000 |
format | Conference Proceeding |
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The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. 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The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. This system was successfully employed for screening of the effect of drugs, gene over-expression and siRNA of diverse cellular properties, including cell adhesion, migration, survival and cytoskeletal organization.</description><subject>Biological Cells</subject><subject>Cells (biology)</subject><subject>Drugs</subject><subject>Fluorescence Microscopy</subject><subject>Image analysis</subject><subject>Image color analysis</subject><subject>Image Processing pipeline</subject><subject>Image resolution</subject><subject>Image storage</subject><subject>Microscopy</subject><subject>Pipelines</subject><subject>Throughput</subject><subject>Writing</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>9781424420025</isbn><isbn>1424420024</isbn><isbn>1424420032</isbn><isbn>9781424420032</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UMtOwzAQNI9KtCUfgLjkB1L8WMf2EaoCkSpxAM6Vk2wSozQNcXLg73FpOe3uzM5oZwm5Y3TFGDUP2ftTtuKU6hVIYJTSC7JgwAECJvglmTMDMtEg-RWJjNL_HJfXZ04ZrmdkETBlGGUSbkjk_VewogpAUJiTJtvbGmNbfE_Ou9Eduth2ZTx1JQ5-DK3r6th1cePqJhmb4TDVTT-Np3lAf2inP1GBbZvk1mMZ-2JA7I462_etK-xxwd-SWWVbj9G5Lsnn8-Zj_Zps316y9eM2cUzJMak0V0IjF0zycHeV5liByXlZpjnXBgwtQajUcJliSnmIbAzNcyFEiK9TKZbk_uTrEHHXD25vh5_d-YPiF4_CXik</recordid><startdate>200805</startdate><enddate>200805</enddate><creator>Liron, Y.</creator><creator>Paran, Y.</creator><creator>Lavelin, I.</creator><creator>Naffar-Abu-Amara, S.</creator><creator>Winograd-Katz, S.</creator><creator>Geiger, B.</creator><creator>Kam, Z.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200805</creationdate><title>Image acquisition and understanding in high-throughput high-resolution cell-based screening applications</title><author>Liron, Y. ; Paran, Y. ; Lavelin, I. ; Naffar-Abu-Amara, S. ; Winograd-Katz, S. ; Geiger, B. ; Kam, Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f82738e23152200f6bef49b2dd6b289490d43769256e602424990bb3331428653</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Biological Cells</topic><topic>Cells (biology)</topic><topic>Drugs</topic><topic>Fluorescence Microscopy</topic><topic>Image analysis</topic><topic>Image color analysis</topic><topic>Image Processing pipeline</topic><topic>Image resolution</topic><topic>Image storage</topic><topic>Microscopy</topic><topic>Pipelines</topic><topic>Throughput</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Liron, Y.</creatorcontrib><creatorcontrib>Paran, Y.</creatorcontrib><creatorcontrib>Lavelin, I.</creatorcontrib><creatorcontrib>Naffar-Abu-Amara, S.</creatorcontrib><creatorcontrib>Winograd-Katz, S.</creatorcontrib><creatorcontrib>Geiger, B.</creatorcontrib><creatorcontrib>Kam, Z.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liron, Y.</au><au>Paran, Y.</au><au>Lavelin, I.</au><au>Naffar-Abu-Amara, S.</au><au>Winograd-Katz, S.</au><au>Geiger, B.</au><au>Kam, Z.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image acquisition and understanding in high-throughput high-resolution cell-based screening applications</atitle><btitle>2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2008-05</date><risdate>2008</risdate><spage>332</spage><epage>335</epage><pages>332-335</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>9781424420025</isbn><isbn>1424420024</isbn><eisbn>1424420032</eisbn><eisbn>9781424420032</eisbn><abstract>Quantitative interpretation of microscope images is more challenging the higher the resolution of the images is. The reward is rich multi-parametric characterization of subcellular structures and detailed description of cell responses to perturbations. This information is the basis of high- throughput cell-based screening, searching to discover new drugs and understand molecular mechanisms at the cell level. We have developed a fast screening microscope acquiring high-resolution images from cells cultured in plastic-bottom multi-well plates, [1-4] and are writing an automated pipeline for the analysis of Tera Bytes of images from high throughput screens. The platform includes database for storage and retrieval of images, visualization with easy linkage of the analyzed results to the original multi-color images, segmentation of objects in images (including cells, nuclei, cytoskeletal fibers and sub-cellular organelles), multi-parametric quantification of morphological and multicolor fluorescence intensities, and statistical comparisons to control wells displayed in color coded scores on the plate graphics. This system was successfully employed for screening of the effect of drugs, gene over-expression and siRNA of diverse cellular properties, including cell adhesion, migration, survival and cytoskeletal organization.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2008.4541000</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1945-7928 |
ispartof | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, p.332-335 |
issn | 1945-7928 1945-8452 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biological Cells Cells (biology) Drugs Fluorescence Microscopy Image analysis Image color analysis Image Processing pipeline Image resolution Image storage Microscopy Pipelines Throughput Writing |
title | Image acquisition and understanding in high-throughput high-resolution cell-based screening applications |
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