Dataset for Absorbance Microscopy for Quantitative and Traceable Trypan Blue Cell Viability Measurement

The use of the microscope to assess cell viability is an inherently qualitative and subjective process. This project demonstrates a new absorbance microscopy modality for quantitative single-cell assessment of cell viability via trypan blue staining. This dataset consists of .tif images of live and dead stained and unstained Jurkat cells as well as the numerical data related to the corresponding journal article. The images were collected via brightfield microscopy through a 610nm bandpass filter. The data were collected to demonstrate a new imaging modality that enables the collection of traceable and comparable images of cells over time on the same microscope or on different microscopes. The processing of the brightfield images into absorbance images allows the intracellular uptake of trypan blue measured as moles/cell or mmol/L to be determined for individual cells. In this way, measurements of cell viability can be made in a quantitative, reproducible fashion. Quantitative measurements of cell viability are greatly needed to improve consistency in the biomanufacturing of cells and cell-based therapeutics. Note about Downloading: Please note that the pathlength for the download location must not exceed 260 characters; this is the pathlength limit in Windows. If you experience an error message about pathlength, then you can create a shorter pathlength for the download. For example, you could create a folder on C drive named 000 (triple zero) which would sort to the top of the list and would be C:\\000 (6 characters). REFERENCE 1. Babakhanova G, Zimmerman SM, Pierce LT, Sarkar S, Schaub NJ, Simon Jr CG (2021) Quantitative, Traceable Determination of Cell Viability Using Absorbance Microscopy. Manuscript in preparation. 2. Babakhanova G, Zimmerman SM, Simon Jr CG (2021), Dataset for AbsorbanceQ App for Generating Absorbance Images from Brightfield Image Captures, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2423 (accessed June 22, 2021) 3. Zimmerman SM, Simon Jr CG, Babakhanova G (2021) AbsorbanceQ App for Generating Absorbance Images from Brightfield Image Captures. Manuscript in preparation.