ArticleBiomedical optics express2023
Modelling red blood cell optical trapping by machine learning improved geometrical optics calculations.
Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Red Blood Cells as Endogenous Biotweezers for Optical Micromanipulation In Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Toward a Comprehensive Raman Analysis of Functional Cells With Structured Optical Traps.Analytical chemistry · 2026Article
- Deep learning for optical tweezers.Nanophotonics (Berlin, Germany) · 2024Review
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Authors and funding
4 authors.
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Abstract
Optically trapping red blood cells allows for the exploration of their biophysical properties, which are affected in many diseases. However, because of their nonspherical shape, the numerical calculation of the optical forces is slow, limiting the range of situations that can be explored. Here we train a neural network that improves both the accuracy and the speed of the calculation and we employ it to simulate the motion of a red blood cell under different beam configurations. We found that by fixing two beams and controlling the position of a third, it is possible to control the tilting of the cell. We anticipate this work to be a promising approach to study the trapping of complex shaped and inhomogeneous biological materials, where the possible photodamage imposes restrictions in the beam power.
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