ColorLab: Visualizing Color from Absorbance Spectra

08 June 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

We present here the first public release of ColorLab, a Python-based program that can convert absorbance spectra into color images. It was designed for use with organic photovoltaic (OPV) materials and blends, which represent a myriad of colors based on molecular design and material blending that can exhibit persistent color or evolve over time via degradation or morphology changes. However, ColorLab is not limited to this application, and can generate color images from a single spectrum or an evolving color bar on a time axis from multiple time-stamped spectra. Using internationally defined illuminants, ColorLab can display colors that are representative of a variety of lighting situations, from indoor to outdoor. The development of this program aims to aid with the visualization of semitransparent materials and to connect researchers with designers, through conversion of spectra to color.

Keywords

colorlab
degradation
data visualization
absorbance
color

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