Workflow

A workflow is a set of components assembled in some specific order to

  1. Measure and estimate some numerical parameters of the biological system or
  2. Visualization

for addressing a biological question. Workflows can be a combination of components from the same or different software packages using several scripts and manual steps.

Description

This macro performs measurements of average and standard deviation intensity inside wells of a protein microarray (the number of wells is limited to 250, the image should be cropped for larger arrays). The macro requires the "ImageJ plugins toolkit". To ensure compatibility with Fiji you should download the version 1.6.1The installation instructions can be found here, it only consists in un-compressing the .jar file from the previous archive to Fiji plugins folder.

 

sample image: link

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Description

The quantification is explained in detail in chapter 8 "Cell Polarity - Focal Adhesion and Actin Dynamics in Migrating Cells" in "Bioimage Data Analysis Book" downloadable from here.

For codes and sample images, download the zipped archive (linked under "Download").

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Description

Quote:

Measuring the colocalization between fluorescently labeled molecules is a widely used approach to measure the degree of spatial coincidence and potential interactions among subcellular species (e.g., proteins). This example shows how the object identification and RelateObjects modules are used to measure the degree of overlap between two fluorescent channels. Sample image is included in the download package.

Description

Microtubule end tracking in live cell fluorescent images of Drosophila oocyte involves overcoming the following challenges, which can be tackled by a series of preprocessing steps and tracking described in Parton et al (2011)

  • illumination flicker & photobleaching: suppress by normalising intensities, e.g. using Image->Adjust->Bleach Correction in Fiji/ImageJ
  • uneven illumination: Fourier bandpass filtering (e.g. Process->FFT->Bandpass Filter) preserves features within a selected size range
  • high background / poor contrast: foreground filter, e.g. Temporal Median filter
  • tracking: e.g. TrackMate in Fiji/ImageJ (segmentation using DoG detector)
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Description

Simple workflow description for ImageJ, step-by-step description for delineating focal adhesions, count and characterize their positions.  

Measurement of dynamics is not involved.