202 citations · 355 across the 13 of their papers we have counts for
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Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Machine learning reveals complex behaviours in optically trapped particles
Isaac C. D. Lenton, Giovanni Volpe, Alexander B. Stilgoe +2
Since their invention in the 1980s [1], optical tweezers have found a wide range of applications, from biophotonics and mechanobiology to microscopy and optomechanics [2, 3, 4, 5].…
Orientation of Swimming Cells with Annular Beam Optical Tweezers
Isaac C. D. Lenton, Declan J. Armstrong, Alexander B. Stilgoe +2
Optical tweezers are a versatile tool that can be used to manipulate small particles including both motile and non-motile bacteria and cells. The orientation of a non-spherical par…
Theory and practice of simulation of optical tweezers
Ann A. M. Bui, Alexander B. Stilgoe, Isaac C. D. Lenton +5
Computational modelling has made many useful contributions to the field of optical tweezers. One aspect in which it can be applied is the simulation of the dynamics of particles in…
Visual guide to optical tweezers
Isaac C. D. Lenton, Alexander B. Stilgoe, Halina Rubinsztein-Dunlop +1
It is common to introduce optical tweezers using either geometric optics for large particles or the Rayleigh approximation for very small particles. These approaches are successful…