Published in: Cytometry Part B: Clinical Cytometry
Authors: Alice Yue, Ryan R. Brinkman, Veronica Nash, Fabian Junker, Goce Bogdanoski, Anagha Divekar, Aaron Tyznik, Josef Spidlen, Wolfgang Kern, Jordi Petriz, Kaska Wloka, Kamila Czechowska
Artificial intelligence (AI) is transforming flow cytometry by addressing long-standing challenges in reproducibility, instrument variability, and labor-intensive workflows. A recent article in Cytometry Part B: Clinical Cytometry reviews how AI is being applied across the cytometry pipeline — from instrument standardization and reagent design to assay optimization and automated data analysis.
Among the highlighted innovations are real-time QC algorithms, AI-based reagent discovery, and “virtual cytometers” that simulate experimental setups before wet-lab testing. Importantly, the review also points to AI-driven solutions for laser alignment, such as Modulight’s ML6600 laser, which ensures reproducibility and robust instrument performance across assays. These developments illustrate how integrating AI at the hardware level can significantly improve the reliability and scalability of cytometry workflows.
As AI-enabled cytometry expands from research into clinical diagnostics and immuno-oncology, the demand for highly reliable, standardized instrumentation will only increase. Modulight’s intelligent laser platforms are uniquely positioned to support this shift — enabling automation, minimizing variability, and ensuring consistent assay performance. By combining photonics expertise with AI-driven control, Modulight contributes to a future where flow cytometry delivers not only deeper biological insights but also clinically actionable precision at scale.
