期刊
ANNUAL REVIEW OF CELL AND DEVELOPMENTAL BIOLOGY
卷 25, 期 -, 页码 301-327出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev.cellbio.042308.113408
关键词
cell-to-cell variability; automated image analysis; lineage construction; microfluidic devices; fluorescent proteins
资金
- NSF
- NIH [R01-GM068957]
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R90DK071511] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM068957] Funding Source: NIH RePORTER
The cloning of green fluorescent protein (GFP) 15 years ago revolutionized cell biology by permitting visualization of a wide range of molecular mechanisms within living cells. Though initially used to make largely qualitative assessments of protein levels and localizations, fluorescence microscopy has since evolved to become highly quantitative and high-throughput. Computational image analysis has catalyzed this evolution, enabling rapid and automated processing of large datasets. Here, we review studies that combine time-lapse fluorescence microscopy and automated image analysis to investigate dynamic event,; at the single-cell level. We highlight examples where single-cell analysis provides unique mechanistic insights into cellular processes that cannot be otherwise resolved in bulk assays. Additionally, we discuss studies where quantitative microscopy facilitates the assembly of detailed 4D lineages in developing organisms. Finally, we describe recent advances in imaging technology, focusing especially on platforms that allow the simultaneous perturbation and quantitative monitoring of biological systems.
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