Automated cell counting for Trypan blue-stained cell cultures using machine learning.

ABSTRACT: Cell counting is a vital practice in the maintenance and manipulation of cell cultures. It is a crucial aspect of assessing cell viability and determining proliferation rates, which are integral to maintaining the health and functionality of a culture. Additionally, it is critical for establishing the time of infection in bioreactors and monitoring cell culture response to targeted infection over time. However, when cell counting is performed manually, the time involved can become substantial, particularly when multiple cultures need to be handled in parallel. Automated cell counters, which enable significant time reduction, are commercially available but remain relatively expensive. Here, we present a machine learning (ML) model based on YOLOv4 that is able to perform cell counts with a h

SUBMITTER: Kuijpers L 

PROVIDER: S-EPMC10684072 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature