Image analysis software for estimating cell density in arrayed microbial cultures growing on solid agar
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Image analysis software for estimating cell density in arrayed microbial cultures growing on solid agar

Yeast growing on agar surface

Recent updates:

  • Python 3 compatible - installation via pip more straightforward
  • New command-line interface - separate analysis scripts merged into improved command-line structure
  • Improved documentation - access hints about options directly on the command line (type colonyzer -h at command prompt)
  • Easier grid location - only specify gridded array format, Colonyzer.txt calibration files should not be necessary for most images
  • Improved grid location algorithms - estimate grid width by autocorrelation analysis, grid location and rotation by gradient-based optimisation (with optional global search)
  • Improved spot location algorithm - recursive estimation of centre of mass of each spot, subject to no increase in signal along tile edge, refines grid location estimates for irregular spots
  • Alternative segmentation algorithm - detects cells by first detecting culture edges and infilling: even higher sensitivity at very low signal levels
  • Improved lighting correction - generate pseudo-empty plate by infilling segmented pixels using a Gaussian Random Markov Field update
  • Test datasets - suite of problematic images for checking performance of scripts and algorithms

Submitting updates to Colonyzer2 PYPI pages

First, increment the version number in

If you have not already registered a username with PYPI you should do that. Then authenticate yourself:

python register

Then, navigate to the directory containing and upload the updated package at the command-line as follows:

python sdist upload

Website describing current, stable release:

Open access manuscript describing Colonyzer algorithms:

Open access video and manuscript demonstrating the use of Colonyzer within a Quantitative Fitness Analysis workflow