Trigit: A free web application for rapid colorimetric analysis of images

Autor: Angie Davina Tjandra, Tristan Heywood, Rona Chandrawati
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Biosensors and Bioelectronics: X, Vol 14, Iss , Pp 100361- (2023)
Druh dokumentu: article
ISSN: 2590-1370
DOI: 10.1016/j.biosx.2023.100361
Popis: Color visualization is one of the fundamental aspects in advancing many scientific fields. For example, monitoring color change has been used to identify abnormalities in health, environmental, water, agricultural, and food quality. Human color vision is subjective, and objective colorimetric analysis is essential to prevent incorrect deductions. ImageJ program is commonly used to process color images. Although versatile, ImageJ is neither designed nor optimized for color extraction and analysis. As such, the color extraction process is slow and the user interface is not intuitive. To streamline this process, we designed Trigit (http://trigit.com.au) as a free, rapid, and user-friendly web app to quantify color signals from images. The estimated analysis time is ∼1.5 min for new users and
Databáze: Directory of Open Access Journals