Machine-vision based optofluidic cell sorting.

Jesper Glückstad, Andrew Bañas

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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In contemporary life science there is an increasing emphasis on sorting rare disease-indicating cells within small dilute quantities such as in the confines of optofluidic lab-on-chip devices. Our approach to this is based on the use of optical forces to isolate red blood cells detected by advanced machine vision1. This approach is gentler, less invasive and more economical compared to conventional FACS-systems. As cells are less responsive to plastic or glass objects commonly used in the optical manipulation literature2, and since laser safety would be an issue in clinical use, we develop efficient approaches in utilizing lasers and light modulation devices. The Generalized Phase Contrast (GPC) method3-9 that can be used for efficiently illuminating spatial light modulators10 or creating well-defined contiguous optical traps11 is supplemented by diffractive techniques capable of integrating the available light and creating 2D or 3D beam distributions aimed at the positions of the detected cells. Furthermore, the beam shaping freedom provided by GPC can allow optimizations in the beam’s propagation and its interaction with the laser catapulted and sorted cells.
Original languageEnglish
Publication date2015
Number of pages1
Publication statusPublished - 2015
EventEU FP7 CoMMiTMenT: 4th Program Meeting. - Marcus Beck Library at the Royal Society of Medicine., London, United Kingdom
Duration: 2 Nov 20153 Nov 2015


WorkshopEU FP7 CoMMiTMenT
LocationMarcus Beck Library at the Royal Society of Medicine.
Country/TerritoryUnited Kingdom


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