18 citations · 19 across the 2 of their papers we have counts for
3 papers
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}'',…
3D imaging from multipath temporal echoes
Alex Turpin, Valentin Kapitany, Jack Radford +5
Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation. However, full 3D information based on echo-loca…
The role of late photons in diffuse optical imaging
Jack Radford, Ashley Lyons, Francesco Tonolini +1
The ability to image through turbid media such as organic tissues, is a highly attractive prospect for biological and medical imaging. This is challenging however, due to the highl…