Rare and transient cell states can influence critical biological processes, yet they are often difficult to detect because they exist only briefly or differ by intracellular features rather than surface markers. Researchers are now developing new approaches to identify and isolate these elusive populations.
This research case study examines how image-based cell sorting enabled researchers to distinguish B cells by intracellular protein localization, revealing cell-cycle dynamics associated with antibody maturation that would have been difficult to investigate using conventional flow cytometry.
Download this case study to learn:
- Why transient cell states can be challenging to identify using conventional cell sorting workflows
- How image-based analysis can distinguish cells based on intracellular protein localization and cell-cycle state
- How combining image-based sorting with sequencing can reveal biological mechanisms underlying immune cell development
