Multispectral imaging flow cytometry with machine learning identified pollen in monofloral and polyfloral honeys with results ...

In the near future, clinical trials will use machine learning routinely to analyze data. Today, however, machine learning is still at an adoption midpoint—no longer pioneering, but not yet ubiquitous.

SAN DIEGO--(BUSINESS WIRE)--Insightful Science, the software company enabling the Cloud for Scientific Discovery, announced today that it has acquired Omiq Inc, a company specialized in data science ...

Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...

Flow cytometry allows for the analysis of single cells in a population. This technique is analogous to microscopy, but instead of producing an image, a flow cytometer provides automated quantification ...

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Flow cytometry detects and measures the chemical, fluorescent, and physical characteristics of cells and particles passing in a fluid stream. This technique analyzes cells by passing them through ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

Cell processes are complex and are controlled through dynamic intracellular signaling. To better understand these processes, flow cytometry is used to phenotype cells by taking their dimensions and ...