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Matthew G. Smith

1 paper here

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.flu-dyn1

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most citedMachine learning opens a doorway for microrheology with optical tweezers in living systems

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

physics.flu-dyn2022★ 1 cited

Machine learning opens a doorway for microrheology with optical tweezers in living systems

Matthew G. Smith, Jack Radford, Eky Febrianto +6

It has been argued [Tassieri, \textit{Soft Matter}, 2015, \textbf{11}, 5792] that linear microrheology with optical tweezers (MOT) of living systems ``\textit{is not an option}'',…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.