Results 181 to 190 of about 9,990 (205)
Quantitative chromogenic immunohistochemical image analysis in cellprofiler software [PDF]
AbstractVisual grading of chromogenically stained immunohistochemical (IHC) samples is subjective, time consuming, and predisposed to considerable inter‐ and intra‐observer variations. The open‐source digital analysis software, CellProfiler has been extensively used for fluorescently stained cells/tissues; however, chromogenic IHC staining is routinely
Gunnar Warfvinge +2 more
exaly +5 more sources
Automatic analysis of silver-stained comets by CellProfiler software
The comet assay is one of the most widely used methods to evaluate DNA damage and repair in eukaryotic cells. The comets can be measured by software, in a semi-automatic or automatic process. In this paper, we apply the CellProfiler open-source software for automatic analysis of comets from digitized images, reporting the percentage of tail DNA. A side-
Jorge E. González +1 more
exaly +4 more sources
CellProfiler excels at bridging the gap between advanced image analysis algorithms and scientists who lack computational expertise. It lacks however high performance capabilities needed for High Throughput Imaging experiments where workloads reach hundreds of TB of data and are computationally very demanding.
Nick MICHIELS, Roel Wuyts
exaly +4 more sources
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The CellProfiler pipeline analysis of cell migration
Acta Histochemica, 2023We demonstrate herein a refined method to evaluate the migration capacity of monolayer cells using the CellProfiler pipeline. We used MDA-MB-231 cells, a triple-negative breast cancer cell line, as a model to perform the wound healing assay and proceeded with the pipeline analysis.
Nur Syamimi Ariffin
exaly +3 more sources
Methods in Molecular Biology, 2022
Cell images provide a multitude of phenotypic information, which in its entirety the human eye can hardly perceive. Automated image analysis and machine learning approaches enable the unbiased identification and analysis of cellular mechanisms and associated pathological effects. This protocol describes a customized image analysis pipeline that detects
Sebastian Dunst, Marja Kornhuber
exaly +3 more sources
Cell images provide a multitude of phenotypic information, which in its entirety the human eye can hardly perceive. Automated image analysis and machine learning approaches enable the unbiased identification and analysis of cellular mechanisms and associated pathological effects. This protocol describes a customized image analysis pipeline that detects
Sebastian Dunst, Marja Kornhuber
exaly +3 more sources
Using CellProfiler to Analyze and Quantify Vascular Morphology
Methods in Molecular Biology, 2017Computational programs can be used in place of time-consuming, error-prone manual data collection. CellProfiler is a free, open source program that allows researchers to automate image analysis and collect large amounts of phenotypic data relatively easily. Here, we describe how to adapt CellProfiler to analyze cross sections of xylem tissue and use it
Manoj Kumar, Liam Campbell, Simon Turner
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CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis. [PDF]
Abstract Summary Image-based experiments can yield many thousands of individual measurements describing each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free, open-source software package designed for the exploration of quantitative image-derived data and the ...
David R Stirling +2 more
exaly +4 more sources
CellProfiler and KNIME: Open Source Tools for High Content Screening
Methods in Molecular Biology, 2013High content screening (HCS) has established itself in the world of the pharmaceutical industry as an essential tool for drug discovery and drug development. HCS is currently starting to enter the academic world and might become a widely used technology.
Felix Meyenhofer +2 more
exaly +4 more sources

