Zimmerman, S.
, Simon Jr., C.
and Babakhanova, G.
(2022),
AbsorbanceQ: An App for Generating Absorbance Images from Brightfield Images, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/jres.126.039, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932805
(Accessed April 19, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
AbsorbanceQ: An App for Generating Absorbance Images from Brightfield Images
Published
Author(s)
, ,
Abstract
The AbsorbanceQ app converts brightfield microscope images into absorbance images that can be analyzed and compared across different operators, microscopes and time. Absorbance-based measurements are comparable, which is useful when the aim is to manufacture biotherapeutics with consistent quality. AbsorbanceQ will be of value to those who want to capture quantitative absorbance images of cells. The AbsorbanceQ app has two modes - a single image processing mode and a batch processing mode for multiple images. Instructions for using the app are given on the 'App Information' tab when the app is opened. The input and output images for the app have been defined, and synthetic images were used to validate that the output images are correct. This manuscript describes how to use the app and provides links to a website where images for testing the app to ensure proper functionality are stored.Citation
Journal of Research (NIST JRES) -
Volume
126
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
absorbance microscopy, cell viability, image processing
Citation
Created January 4, 2022, Updated November 29, 2022