- Aug 2022
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twitter.com twitter.com
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Yaniv Erlich. (2021, December 8). Updated table of Omicron neuts studies with @Pfizer results (which did the worst job in terms of reporting raw data). Strong discrepancy between studies with live vs pseudo. Https://t.co/InQuWMAm4l [Tweet]. @erlichya. https://twitter.com/erlichya/status/1468580675007795204
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- Feb 2022
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twitter.com twitter.com
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PaedsHaemDoc. (2022, January 9). Had the misfortune (via @fatemperor) to come across Dr Paul Alexander -apparently credentialed yet in single blog post demonstrates perfectly either a disconnect from rational thought or deliberate misinformation spreading of the #masspsychosis of the anti-Vax crew let’s examine https://t.co/Ctd49cb1qK [Tweet]. @dr_barrett. https://twitter.com/dr_barrett/status/1479986071832248322
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- Jan 2014
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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The initial inputs for deriving quantitative information of gene expression and embryonic morphology are raw image data, either of fluorescent proteins expressed in live embryos or of stained fluorescent markers in fixed material. These raw images are then analyzed by computational algorithms that extract features, such as cell location, cell shape, and gene product concentration. Ideally, the extracted features are then recorded in a searchable database, an atlas, that researchers from many groups can access. Building a database with quantitative graphical and visualization tools has the advantage of allowing developmental biologists who lack specialized skills in imaging and image analysis to use their knowledge to interrogate and explore the information it contains.
1) Initial input is raw image data 2) feature extraction on raw image data 3) extracted features stored in shared, searchable database 4) database available to researchers from many groups 5) quantitative graphical and visualization tools allow access to those without specialized skill in imaging and image analysis
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