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CellProfiler Analyst Stable (3.0.4): macOS (supports Mac Monterey, v12+) macOS (supports Mac v10.15-11) Windows Source code available on Github Previous CellProfiler Analyst releases

Cite Us

How to cite CellProfiler Analyst CellProfiler Analyst 3.0: Accessible data exploration and machine learning for image analysis. by David R. Stirling, Anne E. Carpenter, and Beth A. Cimini (2021), Bioinformatics, doi or CellProfiler Analyst: interactive data exploration, analysis, and classification...

Manuals

Version Manual 3.0 [ HTML] 2.2.1 [ HTML] 2.0 [ PDF] 1.0 [ PDF]

Examples

CellProfiler Analyst Example Data and Properties File Example database, configuration file, and images: Single 96-well plate of human cellular images, for use with CellProfiler Analyst 2.0. More sample images and information on the image data can be found on the Broad Bioimage Benchmark Collection...

Introduction

CellProfiler Analyst (CPA) provides tools for classifying biological images and exploring and visualizing multidimensional data (particularly from high-throughput experiments) that has been extracted from companion image analysis software CellProfiler. CellProfiler Analyst’s primary tools: Image...

I. Preliminary data requirements

CPA requires access to the following data sources: An image table and an object table containing measurements and metadata These may reside in a MySQL or SQLite database or in a set of comma-separated value (CSV) files. A MySQL database is recommended, though you may need to consult with your local...

About

CellProfiler Analyst in a nutshell CellProfiler Analyst (CPA) allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. Its most popular feature is a supervised machine learning system ("Classifier") that can be trained to recognize complicated...