Full spectrum and animal vision imaging systems
The latest update to the image analysis and calibration toolbox
New techniques for simulating the effects of acuity and viewing distance as part of the Quantitative Colour Pattern Analysis (QCPA) update to MICA
A framework for the analysis of colour patterns in nature as part of the MICA toolbox
The latest version of the batch script contains various performance updates and several fixes, ensuring numerical parity with the manual QCPA workflow in the toolbox: https://github.com/cedricvandenberg/QCPA-batch-script
Fixed a bug where RNL ranked filtering was not applied to images prior to creating colour maps when selected.
Fixed an error which led to images being left open after processing, subsequently causing memory overload with large datasets: https://github.com/cedricvandenberg/QCPA-batch-script
Following recent reports we can confirm that when using the Naive Bayes clustering alternative to the RNL clustering, the standard deviations instead of the means were used for downstream colour pattern analysis. This bug concerns all realeses of the toolbox
This release has a number of bug fixes, and also switches to a new LibRAW (DCRAW) version, which offers support for a large number of more recent RAW camera file formats. The functions have been tested in Linux and Windows,
Joint organisers: Cedric P. van den Berg, Jolyon Troscianko, Thomas E. White, Devi Stuart-Fox We are delighted to announce a one-day workshop on the use of spectrophotometry and calibrated digital imaging for modelling animal vision. The workshop will briefly introduce
This was fixed in the upgrade to v2.2.2, but here’s how: Issues for users of v2.1.1 with opening or creating .mspec files can be explained by an error in the ‘DCRAW_import.ijm’ script (Plugins -> micaToolbox -> tools). Replace lines 19
A GUI-mediated, modular approach to automating QCPA. Incl. worked examples, and a detailed manual (R scripts are in the works): https://www.biorxiv.org/content/10.1101/2023.02.02.526788v1
Michal Šulc describes how he came across calibrated digital photography and how the MICA toolbox helped him investigate animal colouration. His article provides a step-by-step walkthrough of his use of granularity and colour analyses and portraits the perspective of an
Thanks to the amazing work of and collaboration with Dr Sam Powell from UQ’s sensory ecology lab, we are proud to present a detailed guide on how to calibrate a camera with a monochromator. The guide provides a detailed description