AI Article Synopsis

  • - A spectral reflectance curve represents how colored surfaces reflect light across different wavelengths, crucial for organisms' visual perception, like insects distinguishing flower colors.
  • - Sharp transitions along the reflectance curve, called marker points, are significant for understanding color perception and have been the focus of various studies on flower colors.
  • - To improve the marker point analysis process, researchers developed open-access software in C++ (and later in TypeScript) that automates the procedure, ensuring repeatability, standardization, and the ability to interactively explore parameter variations.

Article Abstract

A spectral reflectance curve for a coloured surface can be constructed from a set of radiation reflectance value measurements made across the spectrum at discrete wavelengths. The curve gives an indication of the pattern of light entering the eye of an organism viewing an illuminated object. Marker points represent the positions along a reflectance curve at which sharp transitions in reflectance occur, these being potentially important to visual perception, for instance by insects discriminating between two flowers, each of a different colour. Consequently, methods of marker point analysis have been applied in several studies evaluating flower colours. These studies have sometimes required researchers to place marker points on reflectance curves by eye, or they have used algorithms written as unreleased software. To automate the process systematically and provide open access, we implemented special-purpose software in C++. Below we provide a summary of the approach adopted in our implementation and made available online in a port to TypeScript. The main benefits of our method are summarized as being:•Automation and repeatability.•Standardisation, cross-platform compatibility and Open Access.•Interactive exploration of the effects of parameter variation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125344PMC
http://dx.doi.org/10.1016/j.mex.2020.100827DOI Listing

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