These ecosystems are powerful but can lack the flexibility to work with data from other manufacturers’ equipment. Many microscopes are now sold with accompanying proprietary analysis packages, such as MetaMorph (Molecular Devices), Elements (Nikon), Zen (Zeiss) and Harmony (Perkin Elmer).
Cellprofiler thresholding strategy software#
Such analysis is best achieved through using software to perform automated detection of cells or organisms and extract quantitative metrics which objectively describe the specimens.
Cellprofiler thresholding strategy series#
Scientists increasingly image cells in 3D or across time series this expanding bulk of raw data necessitates automated processing and analysis. The increasing use of automated microscopy now allows researchers to capture images of samples treated with many thousands of individual compounds or genetic perturbations. Image analysis software can allow scientists to obtain quantitative measurements from images that are otherwise difficult to capture via subjective observation. Microscopy can be used to capture images which contain a wealth of information that can inform biomedical research. This release will ensure that researchers will have continued access to CellProfiler’s powerful computational tools in the coming years. ConclusionsĬellProfiler 4 provides significantly improved performance in complex workflows compared to previous versions. We also evaluated performance and made targeted optimizations to reduce the time and cost associated with running common large-scale analysis pipelines. We introduced new modules to expand the capabilities of the software. Based on user feedback, we have made several user interface refinements to improve the usability of the software. Herein we describe CellProfiler 4, a new version of this software with expanded functionality. CellProfiler is a free, open source image analysis program which enables researchers to generate modular pipelines with which to process microscopy images into interpretable measurements.
With the expansion of high throughput microscopy methodologies producing increasingly large datasets, automated and objective analysis of the resulting images is essential to effectively extract biological information from this data. Imaging data contains a substantial amount of information which can be difficult to evaluate by eye.
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