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
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
This update mostly contains really major changes under the hood, but also a new image alignment feature: Switch to LibRAW from DCRAW, meaning it’s more future-proof and works with pretty much all the latest digital cameras. Affine align: this is
The micaToolbox is being updated to work with LibRAW as a replacement for DCRAW (which is no longer maintained). This means the micaToolbox will work with the latest Canon .cr3 files for example. You can download a beta release of
Version 2.1.0 includes two main changes: Desaturation Function Sensor noise can create false chromatic information in dark parts of the image. We’ve therefore introduced a desaturation function available when converting an image to cone-catch. Image visualisation sRGB false colour The
UPDATE: Due to current developments we have postponed the workshop until further notice. We are looking into various options and will keep you posted. Thank you for your understanding. We are delighted to announce a one-day workshop on the use
Link to QCPA Paper Humans are now closer to seeing through the eyes of animals, thanks to an innovative software framework developed by researchers from the University of Queensland and the University of Exeter. PhD candidate Cedric van den Berg