IMAGE ANALYSIS SUPPORT

CellProfiler™, Fiji/ImageJ, KNIME, QuPath, Ilastik, custom Python Scripts

Wako Automation Image Analysis Services

Free Image Analysis Service

Wako Automation is providing free image analysis services during the COVID-19 pandemic. During this difficult time we are offering complimentary image analysis consulting. If you need assistance with any of the image analysis software below please use the “Contact Us” button at the top of this page and submit your request. A Wako Automation consultant will quickly get back to you.

CellProfiler™, Fiji/ImageJ, KNIME, QuPath, Ilastik, custom Python image analysis scripts

CellProfiler is cell image analysis software designed for biologist. It was developed and is maintained by Dr. Anne Carpenter’s lab at the Broad Institute of Harvard and MIT. CellProfiler can be downloaded here: https://cellprofiler.org. CellProfiler is open source and free to download and use.

Wako Automation is working with Dr. Carpenter’s lab in an effort to provide support to users of CellProfiler. Once you download CellProfiler try out some example pipelines and tutorials located here: https://cellprofiler.org/examples. If you need additional assistance please visit the online forum for help: https://forum.image.sc/tag/cellprofiler. Scientists from the CellProfiler community, Dr. Carpenter’s lab and Wako Automation continuously monitor the forum and provide answers to questions. If you need additional assistance, Wako Automation provides a number of services to help the imaging community.

CellProfiler training classes – A Fujifilm application scientists can provide a half day or more of training using a mix of example datasets as well as your own in house data to help you understand how to use CellProfiler and get you on your way to building optimized CellProfiler pipelines/workflows designed to quantify images so you can advance your specific research projects.
CellProfiler pipeline design – Some image analysis pipelines/workflows may be quite complex, in other instances your lab may be overwhelmed with imaging data and may just need help to get you 90% of the way there, or Fujifilm can build you a finalized pipeline. This service is designed to help customers outsource CellProfiler pipeline/workflow design and simultaneously teach scientists how to become CellProfiler experts. Scientists simply upload a few sample images for a specific project (positive control, negative control, and sample images), along with an explanation of what needs to be quantified. From these images and our application scientists will develop a CellProfiler pipeline/workflow to get you the results for your experiment. This pipeline is sent back to our customer who can then work with our application scientist to finalize an optimized pipeline. This process not only gets you a jump start on one of the most difficult aspects of running an imaging experiment, but also helps train you to become an CellProfiler expert.
Fiji/ImageJ, KNIME, QuPath, Ilastik, custom Python image analysis scripts – In addition to working with CellProfiler, Fujifilm Wako Automation can provide training and analysis assistance for Fiji/ImageJ, KNIME, Ilastik and QuPath. If your application requires a fully custom solution we can also provide custom Python scripts to get you the results you are looking for.

The best way to contact us to learn more about any of these services is via our online request form: https://www.wakoautomation.com/contact-us. We look forward to hearing from you.

Below are a number of free CellProfiler pipeline/workflow tutorials, created by our applications scientist, to assist in a broad range of image analysis challenges. Download the tutorials and see how our application scientists use CellProfiler to solve these challenges. Check back every so often as we will continue to add additional pipeline/workflow tutorials.

Getting Started with CellProfiler, the Basics

A basic guide for scientists who are using CellProfiler for the first time. Please download and review this guide and then download and follow the tutorials. If you already have CellProfiler experience, skip this guide and go right to the tutorials.

Download Tutorial »

Segment Fibroblasts

Aim: To segment spindle shaped fibroblasts

This pipeline illustrates techniques used to segment spindle shaped fibroblasts from a three channel image using basic CellProfiler modules that enable image thresholding adjustments and smoothing parameters. In addition, colocalization of two of the channels from the segmented objects is reported.

Image: Multichannel image (DAPI, Actin, Myosin)

Download Tutorial »

Segment Microglia

Aim: To segment microglia

This pipeline illustrates the segmentation of complete microglia with dendrites using CellProfiler’s™ EnhanceSuppress features.

Image: 2 channel image (DAPI & GFP)

Download Tutorial »

3D Segmentation of Tumor Cells

Aim: to segment cells in 3D

This pipeline illustrates how CellProfiler can be used to perform 3D analysis on confocal images of cells and nuclei.

Image: two channel confocal image

Download Tutorial »

Segmentation of Cells in Tissue with High Background

Aim: Segment cells within a tissue image with high background.

This pipeline utilizes CellProfiler’s EnhanceOrSuppressFeatures module to suppress high background before segmentation.

Image: A single tissue image.

Download Tutorial »

Using the MaskObjects Function With A Manually Drawn or Imported Region Of Interest

Aim: Identify objects within a region of interest that is either manually drawn within CellProfiler or has been pre-saved as a mask.

Images: One multi-colored neuronal image and a binary image of a predefined mask representing the Region Of Interest (ROI).

Download Tutorial »

Seed counting (Agriculture Application)

Aim: To identify, segment, and count corn kernels from the image of an ear of a corn.

This pipeline illustrates CellProfiler’sTM ability to identify the local maxima from a standard photograph. By identifying local maxima corn kernels can be recognized and counted.

Image: Single color image of an ear of corn.

Download Tutorial »

Segmentation and Classification of Individual Oocytes Based on Size

Aim: Segment individual oocytes and classify them by size.

This pipeline illustrates how to create a mask of the region of interest (in this case the tissue), to isolate a colony of oocytes, identify and segment individual oocytes, and then filter them based on size.

Image: Single color image

Download Tutorial »

Segmenting a Viral Plaque from a Brightfield Image

Aim:

This example pipeline shows the segmentation of a large region, in this case a viral plaque, from a brightfield image.
Image: A Single Differential Interference Contrast (DIC) Image

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Saving each Segmented Cell as an Individual Mask

Aim: Demonstrate CellProfiler’s unique ability to save each segmented cell as an individual mask. These saved masks can be used later within CellProfiler or in other image analysis applications.

Image: Single image with nuclei and cell signal

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Using the Groups Module to Analyze Data by Well

Aim: Utilize the Metadata, NamesAndTypes, and Groups modules to create Maximum Image Projections (MIPs) of Z stack images for three channels and two wells of data.