Real-time simultaneous refractive index and thickness mapping of sub-cellular biology at the diffraction limit.

ABSTRACT: Mapping the cellular refractive index (RI) is a central task for research involving the composition of microorganisms and the development of models providing automated medical screenings with accuracy beyond 95%. These models require significantly enhancing the state-of-the-art RI mapping capabilities to provide large amounts of accurate RI data at high throughput. Here, we present a machine-learning-based technique that obtains a biological specimen's real-time RI and thickness maps from a single image acquired with a conventional color camera. This technology leverages a suitably engineered nanostructured membrane that stretches a biological analyte over its surface and absorbs transmitted light, generating complex reflection spectra from each sample point. The technique does not need pr

SUBMITTER: Burguete-Lopez A 

PROVIDER: S-EPMC10847501 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature