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
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The micaToolbox is being updated to work with LibRAW as a replacement for DCRAW (which is no longer maintained).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
The BETA version of the QCPA framework and micaToolbox version 2 is now available! This release makes a huge range of sophisticated animal vision modelling and analysis tools available to everyone. The BioRxiv pre-print manuscript detailing the QCPA framework is