Sharing and reusing cell image data

Molecular Biology of the Cell
Assaf Zaritsky

Abstract

The rapid growth in content and complexity of cell image data creates an opportunity for synergy between experimental and computational scientists. Sharing microscopy data enables computational scientists to develop algorithms and tools for data analysis, integration, and mining. These tools can be applied by experimentalists to promote hypothesis-generation and discovery. We are now at the dawn of this revolution: infrastructure is being developed for data standardization, deposition, sharing, and analysis; some journals and funding agencies mandate data deposition; data journals publish high-content microscopy data sets; quantification becomes standard in scientific publications; new analytic tools are being developed and dispatched to the community; and huge data sets are being generated by individual labs and philanthropic initiatives. In this Perspective, I reflect on sharing and reusing cell image data and the opportunities that will come along with it.

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Citations

Jun 5, 2020·Current Protocols in Mouse Biology·Jeremy Sanderson
May 13, 2020·GigaScience·Alejandra N Gonzalez-BeltranLennart Martens
Nov 19, 2019·Frontiers in Oncology·Tiffany M HeasterMelissa C Skala
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Apr 13, 2021·FEBS Letters·Samantha L WilsonMichael M Hoffman
Aug 19, 2021·Trends in Plant Science·Agnese PiovesanBart Nicolaï
Aug 21, 2021·Journal of Cell Science·Meghan K Driscoll, Assaf Zaritsky

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Methods Mentioned

BETA
electron tomography
fluorescence microscopy

Software Mentioned

CP
CHARM
AveMap
BLAST
CellProfiler
JCB Viewer Library
PhenoImageShare
Open Microscopy Environment
GigaScience
SourceData

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