• Software Interfaces

    Software for analyzing CellProfiler-produced data

    Software Description Interface

    CellProfiler
    In addition to performing image analysis to generate measurements, CellProfiler has built-in tools in the Data Tools menu to generate a few types of plots. CellProfiler output files in MATLAB (.mat) and HDF5 (.h5) can be opened by CellProfiler's data tools.

    CellProfiler Analyst
    CellProfiler Analyst allows analysis, exploration and machine-learning for high-dimensional image-based data. CellProfiler Analyst can be used with data that follows a simple format: One image table with rows of databases produced in CellProfiler using the ExportToDatabase module or data tool.

    Accelrys
    The Component Collections of the Accelrys Enterprise Platform (AEP) allows researchers to build, deploy, analyze and report on complex scientific data types within the Accelrys applications framework and other third-party applications. The Pipeline Pilot Imaging Component Collection provides a component, 'CellProfiler (on Server)', for integration with CellProfiler. The user can run a protocol and send images to be analyzed into CellProfiler as input, and allows for images and analysis data to be retrieved from CellProfiler for downstream data workflows enabled by AEP. Some details on using the component are provided here.

    Columbus
    The Columbus system (Perkin Elmer) is a universal high-volume image data storage and analysis system that brings access to images from a wide range of sources including all major high content screening instruments via the Internet. Using the final building block (Define Results) of a Columbus analysis routine, data can be exported in a format that CellProfiler Analyst can read. Instructions here.

    Excel

    Calc

    Prism
    Spreadsheet programs like these are useful for plotting small amounts of data. Excel (Microsoft) is a general business comercial package, whereas Prism (Graphpad) is a commercial program tailored towards research scientists for statistical analyses. Calc (LibreOffice) is open-source software and freely-available. These tools can read comma- or tab-delimited files generated by the CellProfiler ExportToSpreadsheet module or data tool.

    FCS Express Image Cytometry
    FCS Express 4 Image Cytometry (De Novo Software) provides population based analytical tools common in flow cytometry. The image cytometry version allows the user to review and analyze multi-parametric data sets and relate results back to the original images. FCS Express 4 software can import comma-delimited files produced by the CellProfiler ExportToSpreadsheet module or data tool.

    GenePattern
    GenePattern (Broad Institute) is open source software that gives a broad audience access to a growing repository of sophisticated analytic tools for genomic data, while an API supports computational biologists. CellProfiler can format and export image-based data as a GenePattern GCT file (.gct) through the ExportToSpreadsheet module or data tool.

    IN Cell Analyzer
    IN Cell Analyzer automated cell imaging systems yield morphological and molecular data via high content imaging and analysis. The IN Cell Analyzer acquisition software from GE Healthcare generates customizable CSV reports in a format that allows CellProfiler to import images and metadata via the LoadData module.

    KNIME
    KNIME (University of Konstanz) is an open source modular data exploration platform that enables the user to visually create data flows, selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models. KNIME includes a Database Reader node that can access CellProfiler-produced data. [more]

    MATLAB
    MATLAB (Mathworks) is a high-level language and interactive environment for data analysis and visualization. CellProfiler can produce MATLAB (.mat) output files.

    Orbit
    Orbit Image Analysis is open source software for quantifying large-format images such as whole slide scans of tissue. It can load images from local disk or connect to an Omero image server and can process images on a local computer or on a cluster using Spark. Orbit can be used to specify a region of interest in a very large image (e.g. a whole-slide scan), and can then send tiled sub-regions to CellProfiler for high-throughput processing of individual cells in each tile. All tiles in the valid ROI are processed via CellProfiler, the results are read back into Orbit and can be visualized.

    R

    Python
    Any analysis or visualization tools that can query a database (such as R or python+pylab) can be used to analyze data that has been deposited into a MySQL database. Databases containing image and/or object data can be produced using the CellProfiler ExportToDatabase module or data tool. CellProfile-R, an R package for CellProfiler database access and analysis, is available. Users can write their own CellProfiler modules in Python by following the instructions here.

    Spotfire
    Spotfire provides a dynamic, collaborative interface that assimilates data from multiple sources— chemical structures, text, numbers, images, chemical properties, biological assays, and more—and empowers you to perform complex analyses and create easy-to-use visual dashboards. SpotFire is able to import data generated by the CellProfiler ExportToSpreadsheet (for small data sets; see tutorial) or ExportToDatabase modules or data tools (for large data sets).

    Software Partnerships

    CellProfiler has partnered with academic and commercial groups to create a variety of software interfaces. These efforts not only expand the functionality of CellProfiler and CellProfiler Analyst but also leverage the strengths of other packages.

    Software Description Interface

    BioFormats
    Bio-Formats is an open source Java library for reading and writing microscopy file formats. It facilitates the exchange of microscopy data by converting proprietary microscopy data into the OME data model standard. CellProfiler 2.1.0 is packaged with Bio-Formats and uses it to read/write images from disk, as well as write movies. [more]

    Ilastik
    Ilastik is an open source tool for pixel-based classification of 2,3 and 4D images. The user first trains a classifier by identifying areas of images that fall into one of several classes, such as cell body, nucleus, background or membrane. The classifier can then be applied to those and similar images to identify areas in those images that correspond to the trained classes. CellProfiler can read a classifier file from Ilastik and apply its classifiers to an image using the ClassifyPixels module to produce a probability map: an image whose intensity is higher for parts of images that are likely to be the chosen class. More [here] and [here].

    ImageJ
    ImageJ is an open source image processing program providing extensibility via Java plugins and recordable macros. Custom acquisition, analysis and processing plugins can be developed using a built-in editor and a Java compiler. Via the RunImageJ module, CellProfiler can load images, run an ImageJ macro or plugin on them, and retrieve the results for downstream analysis via the RunImageJ module.

    Open Microscopy Environment (OME)
    OMERO is an open source application for visualization, management, and analysis of biological image data. It allows the scientists to remotely manage, view, annotate and measure multi-dimensional images from anywhere. The 2.1.0 release of CellProfiler has first-class support for loading images from OMERO. Details can be found by following this link.

    iBrain

    openBIS
    OpenBIS is a data management framework to track and annotate raw data for screening, proteomics, FACS and deep sequencing data. iBRAIN is a platform for performing image analysis on large datasets automatically. The SyBIT project, part of SystemsX, delivers integrated analysis pipelines that use CellProfiler as a building block. SyBIT has developed automated workflows for data exchange and analysis based on the openBIS database, CellProfiler, and iBRAIN, using cluster infrastructures for data processing. The project continues to tailor these workflows to suit the research needs of several systems biology projects.