App Note: Live-Cell Analysis for AI-Driven Label-Free Quantification of Cell Viability
Live-cell imaging and analysis enables acquisition of phase contrast images and provides an ideal platform to study multi-faceted biological paradigms in drug discovery. This is vital to our understanding of human diseases and treatment strategies.
Movement of these models towards increasingly complex physiologically relevant ones, including patient-derived cells and induced pluripotent stem cells (iPSCs) - has concurrently driven the need for label-free, non-perturbing methods to deliver deeper biological insights.
Incorporating artificial intelligence (AI) into live-cell imaging and analysis workflows has enabled powerful quantification of a wide range of cellular models, allowing researchers to make data-driven decisions and understand disease at a more granular level.
Overview
Document Type: Application Note
Page Count: 8
Read Time: 10 minutes
Last Updated: 13 February 2023
Authors: Jasmine Trigg, Daniel Porto, Nevine Holtz, Nicola Bevan, Timothy Jackson, Timothy Dale, Gillian Lovell
Download This Application Note to Learn:
- AI-Driven Cell Segmentation
- AI-Driven Live-Dead Classification
- Label-Free Analysis of Cytotoxicity in Microplate Throughput
- Insight into Mechanism of Apoptosis