FORMA and BEFORE: using statistical inference for calibration of optical tweezers

Laura Pérez-García; Martin Selin; Alejandro V. Arzola; Giorgio Volpe; Alessandro Magazzu; Isaac Pérez Castillo; Giovanni Volpe

doi:10.1117/12.2593995

1 August 2021 FORMA and BEFORE: using statistical inference for calibration of optical tweezers

Laura Pérez-García, Martin Selin, Alejandro V. Arzola, Giorgio Volpe, Alessandro Magazzu, Isaac Pérez Castillo, Giovanni Volpe

Author Affiliations +

Proceedings Volume 11798, Optical Trapping and Optical Micromanipulation XVIII; 117980G (2021) https://doi.org/10.1117/12.2593995
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

FORMA (force reconstruction via maximum-likelihood-estimator analysis) addresses the need to measure the force fields acting on microscopic particles. Compared to alternative established methods, FORMA is faster, simpler, more accurate, and more precise. Furthermore, FORMA can also measure non-conservative and out-of-equilibrium force fields. Here, after a brief introduction to FORMA, I will present its use, advantages, and limitations. I will conclude with the most recent work where we exploit Bayesian inference to expand FORMA's scope of application.

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Laura Pérez-García, Martin Selin, Alejandro V. Arzola, Giorgio Volpe, Alessandro Magazzu, Isaac Pérez Castillo, and Giovanni Volpe "FORMA and BEFORE: using statistical inference for calibration of optical tweezers", Proc. SPIE 11798, Optical Trapping and Optical Micromanipulation XVIII, 117980G (1 August 2021); https://doi.org/10.1117/12.2593995

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