2021
DOI: 10.1101/2021.06.30.450416
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CellProfiler 4: Improvements in Speed, Utility and Usability

Abstract: 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. Here we describe CellProfiler 4, a new version of this software which has been ported to the Python 3 language. Based on user feedback, we have made several user interface refinements to improve the usability of the software. We introduced new modules to expand the capabilities of the software. We also evaluated performance a… Show more

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Cited by 34 publications
(39 citation statements)
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“…Images were processed in Zen2 Blue Edition v.2 (Zeiss) and analyzed using CellProfiler v.4.0 (ref. 71 ) with pipelines similar to those previously reported 70 . In brief, the nuclei were identified first and expanded along the intensity gradient of the cytoplasmic staining.…”
Section: Methodssupporting
confidence: 73%
“…Images were processed in Zen2 Blue Edition v.2 (Zeiss) and analyzed using CellProfiler v.4.0 (ref. 71 ) with pipelines similar to those previously reported 70 . In brief, the nuclei were identified first and expanded along the intensity gradient of the cytoplasmic staining.…”
Section: Methodssupporting
confidence: 73%
“…”, the vast majority of respondents reported the category of “open source point and click software”. The question described such tools to include ImageJ 3 , 4 , Fiji 5 , CellProfiler 6 , Icy 7 , etc., all of which are the most commonly used tools among participants ( Figure 5A ). The next most common tools were “computational libraries and scripts” (such as scikit-image 8 and MATLAB 9 libraries), followed by commercial software on the user’s microscope and other commercial software.…”
Section: Resultsmentioning
confidence: 99%
“…Plates were imaged using a Cytation 5 Cell Imaging Multi-Mode Reader (BioTek) at 20× magnification using the automated imaging function to capture 50 non-overlapping images per well. Background subtraction was performed using Fiji [76] and images were analyzed using CellProfiler v4.2 [77]. A pipeline was generated to identify individual nuclei, trace cell boundaries, segment the cytoplasmic and nuclear compartments, and take measurements of intensity, texture, and correlation with other stains for each type of staining in each subcellular compartment.…”
Section: Methodsmentioning
confidence: 99%