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Cell sorting using efficient light shaping approaches
Author(s) -
Andrew Bañas,
Darwin Palima,
Mark Jayson Villangca,
Jesper Glückstad
Publication year - 2016
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2214165
Subject(s) - computer science , spatial light modulator , sorting , optics , laser , modulation (music) , optoelectronics , laser beams , beam (structure) , degrees of freedom (physics and chemistry) , light beam , emphasis (telecommunications) , materials science , physics , telecommunications , quantum mechanics , acoustics , programming language
Early detection of diseases can save lives. Hence, there is emphasis in sorting rare disease-indicating cells within small dilute quantities such as in the confines of lab-on-a-chip devices. In our work, we use optical forces to isolate red blood cells detected by machine vision. This approach is gentler, less invasive and more economical compared to conventional FACS systems. As cells are less responsive to plastic or glass beads commonly used in the optical manipulation literature, 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) method that can be used for efficiently illuminating spatial light modulators or creating well-defined contiguous optical traps 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 catapulted cells.

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