Analysis software CellActivision

imagingdevelopmentphase

CellActivision uses Machine Learning Technology and a unique digital filter to recognise cells or colonies directly from label free images. CellActivision can also classify and quantify these cells by the use of sample libraries which are easily prepared by the user. Why use CellActivision? CellActivision allows population analysis of label-free live cell images. iPSCs, iPSC-derived cells, or primary cells can be analysed without staining. Kinetic profiles generated simply that are useful for compound analysis and assay development, aiding selection of optimal cell culture conditions and determining assay end-points. Cell imaging systems Phase contrast microscope Input images Images captured by a cell imaging system, such as CQ1 are uploaded in to the CellActivision software for processing. *) Please contact us for details of image file compatibility. Make Sample library, Process Recognition and Classification A sample library is generated by the user which contains examples of cell morphologies or cell types to be quantified. CellActivision extracts characteristics from the cells for each of these defined classes and, using the Machine Learning Technology, generates data for cell number counts, colony size or other parameter that has been requested. Charts and Videos Result data is automatically presented in graphical form and can easily be exported to another package such as Excel. The video of the analysed images, showing e.g. classified cells or segmented colonies, is compatible with Windows Media Player.