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GE Healthcare, Guava Technologies


GE Healthcare said last week that it has launched new software and algorithms to support its IN Cell Analyzer 1000 and 3000 high-content screening instruments.

GE released the IN Cell Developer Toolbox, which "gives researchers the ability to fully customize image analysis routines and investigate multiple cellular events simultaneously," the company said in a statement.

"The IN Cell Developer Toolbox allows for a customized analysis workflow that includes a wide range of user-defined parameters, calculations, measures, and output formats," GE Healthcare said, noting that it retains many of the features of the standard IN Cell Analyzer 1000 analysis module, "such as user-friendly interfaces, protection and/or sharing of protocols, batch analysis, and no need for specialist programming skills or scripting."

In addition, GE Healthcare launched new image-analysis algorithms for cellular assays run on the IN Cell platforms. The new algorithms "provide analysis modules for a wide range of cellular assays to measure any granule-like or discrete features in multiple wavelengths," the company said in a statement. "They are designed to streamline specific tasks when interpreting images created by the IN Cell Analyzer 1000 and 3000, including dual object area analysis, plasma membrane trafficking, cell morphology, and cell cycle phase markers."

The software includes intelligent, machine learning capability to allow automated cell classifications, GE said.

Guava Technologies last week introduced a side scatter option for its EasyCyte bench-top flow cytometer.

"The side scatter feature will allow researchers to analyze whole blood for different types of white blood cells, without having to stain or fix the cells," Guava said in a statement.

According to the company, granular structures in the cytoplasm of granulocytes cause more scattering of incident light than lymphocyte cytoplasm, which is more uniform. Therefore, side scatter makes it easier to assess the number of granulocytes, monocytes, and lymphocytes in a given sample, Guava said.