Theoretical comparison of real-time feedback-driven single-particle tracking techniques
Bertus van Heerden, Tjaart P.J. Kr\"uger

TL;DR
This study provides a theoretical comparison of various real-time feedback-driven single-particle tracking techniques, analyzing their performance trade-offs and suitability for different biological samples.
Contribution
It introduces a systematic, simulation-based comparison of RT-FD-SPT methods, highlighting fundamental performance limits and guiding method selection for specific applications.
Findings
Knight's Tour tracks fastest diffusion with low precision
MINFLUX offers highest precision but slower tracking
iSCAT outperforms fluorescence for larger particles
Abstract
Real-time feedback-driven single-particle tracking is a technique that uses feedback control to enable single-molecule spectroscopy of freely diffusing particles in native or near-native environments. A number of different RT-FD-SPT approaches exist, and comparisons between methods based on experimental results are of limited use due to differences in samples and setups. In this study, we used statistical calculations and dynamical simulations to directly compare the performance of different methods. The methods considered were the orbital method, the Knight`s Tour (grid scan) method and MINFLUX, and we considered both fluorescence-based and interferometric scattering (iSCAT) approaches. There is a fundamental trade-off between precision and speed, with the Knight`s Tour method being able to track the fastest diffusion but with low precision, and MINFLUX being the most precise but only…
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