Multi-parameter photon-by-photon hidden Markov modeling
oleh: Paul David Harris, Alessandra Narducci, Christian Gebhardt, Thorben Cordes, Shimon Weiss, Eitan Lerner
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-02-01 |
Deskripsi
In this work, the authors demonstrate the application of multi-parameter photon-by-photon hidden Markov modeling (mpH2MM) on alternating laser excitation (ALEX)-based smFRET measurements. The utility of mpH2MM in identifying and quantifying dynamic biomolecular sub-populations is demonstrated in three different systems.