Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister chromatid exchanges (SCE) in chromosomes under the microscope. Conventional ...

Ensuring a clean sample surface is crucial when conducting any cell counting method, as any contamination can produce inaccurate results. Manual cell counting requires removing and cleaning the glass ...

Proliferation assays provide quantitative evaluation of a cell population’s viability and growth, and are a crucial aspect of cancer biology research. There are various types of proliferation assays, ...

The National Institute of Environmental Research, under the Ministry of Climate, Environment and Energy, announced Monday it has developed the country's fi ...

System schematic for automatic detection of sister chromatid exchanges. Machine learning techniques have been used to develop a set of algorithms that can identify and count SCEs in microscopy images.