Automatic Cell Counting
2 papers with code • 0 benchmarks • 1 datasets
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MuCeD
Most implemented papers
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation
Brain sections were obtained using a vibratome (Leica VT1000S, Leica Biosystems, Buffalo Grove, IL) and cerebral cortex in 40 μm thick sagittal sections spaced 320 μm apart medial to lateral from brains of each genotype.
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning
Counting cells in fluorescent microscopy is a tedious, time-consuming task that researchers have to accomplish to assess the effects of different experimental conditions on biological structures of interest.
