Imaging through scattering media
Using time-resolved data to predict an object’s form
Seeing “through” things may sound like something from science fiction, but Photon Force technologies have been successfully used to achieve just that.
Using time-resolved data captured with the Photon Force PF32 Time-Correlated Single-Photon Counting (TCSPC) camera, researchers have been able to predict the form of an object from behind a scattering medium or through tissue.
How MIT Used The PF32 To Predict Form Behind A Barrier
Researchers at MIT have used the Photon Force PF32 to demonstrate an imaging technique that allows identification and classification of objects hidden behind scattering media.
The team used a machine learning algorithm to take the data from the PF32 camera and infer what’s concealed behind an opaque surface.
To the naked eye, the surface looks like a blur, however, having the very precise time-resolved information, knowing not only where the photons are, but when every photon is detected to 55ps accuracy, allowed the team to pull out more data from the image and reconstruct what was happening with the target that was hidden from view.
How Proteus used SPAD cameras to aid optical endomicroscopy
The aim of Proteus is to develop a revolutionary technology to provide quick, bedside diagnosis and management of lung diseases in the clinical environment. An Interdisciplinary Research Collaboration (IRC), Proteus is funded by EPSRC and is a consortium between the Universities of Edinburgh, Bath and Heriot-Watt.