NDLI: High throughput microscopy: from images to data

Content Provider	IEEE Xplore Digital Library
Author	Price, J.H.
Copyright Year	2006
Description	Author affiliation: Burnham Inst. for Medical Res., La Jolla, CA (Price, J.H.)
Abstract	For academic scientists, high throughput microscopy enables a paradigm shift from labor intensive qualitative microscopy to fast image-based quantitative biology. For pharmaceutical scientists, it enables replacing whole-well averaged readouts of simple cellular biomarkers with multiplexed cellular systems biological screens that include cell subpopulation and morphological characteristics. For research pathologists, the future looks bright for automating the process of reading and scoring tissue microarrays, which consist of a few hundred to a few thousand tissue sections on each slide. For image-based (or high content) screening, various algorithms have been developed to perform the automated cytometry needed to assess compound hits and/or dose responses. For many other drug screening and academic biological assays and for tissue microarrays, substantial challenges remain to be solved by more advanced image analysis techniques. For all of these applications, raw image data can comprise tens to hundreds of gigabytes (GB) per experiment and new frameworks enabling rapid algorithm development and validation are needed
Starting Page	247
Ending Page	250
File Size	481008
Page Count	4
File Format	PDF
ISBN	078039576X
DOI	10.1109/ISBI.2006.1624899
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Throughput Microscopy Cells (biology) DNA Charge coupled devices Image sensors Sensor arrays Image analysis Blood Image segmentation
Content Type	Text
Resource Type	Article

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