Assistant Professor, University of Michigan-Dearborn, USA
An interview with Dr. Besa Xhabija, Assistant Professor, University of Michigan-Dearborn, USA, as she discusses her use of the HoloMonitor system and AI tools in cancer research. She describes how non-invasive time-lapse imaging aids her breast cancer cell studies, allowing her to observe cellular behaviors and morphological changes affected by natural compounds and environmental toxins. The interview also delves into her recent publication, Kaniski et al. (2024).
Dr. Xhabija elaborates on how she incorporates the system into her workflow, enhancing both efficiency and data quality. She highlights the advantages of utilizing AI to maximize the extensive data generated by HoloMonitor. The conversation covers both technical aspects and broader implications, exploring how single-cell analysis and AI tools could significantly impact cancer research and regenerative medicine.
