Autonomous adaptive data acquisition for scanning hyperspectral imaging.

ABSTRACT: Non-invasive and label-free spectral microscopy (spectromicroscopy) techniques can provide quantitative biochemical information complementary to genomic sequencing, transcriptomic profiling, and proteomic analyses. However, spectromicroscopy techniques generate high-dimensional data; acquisition of a single spectral image can range from tens of minutes to hours, depending on the desired spatial resolution and the image size. This substantially limits the timescales of observable transient biological processes. To address this challenge and move spectromicroscopy towards efficient real-time spatiochemical imaging, we developed a grid-less autonomous adaptive sampling method. Our method substantially decreases image acquisition time while increasing sampling density in regions of steeper phy

SUBMITTER: Holman EA 

PROVIDER: S-EPMC7676237 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature