Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning.

ABSTRACT: Parasitic infections constitute a major global public health issue. Existing screening methods that are based on manual microscopic examination often struggle to provide sufficient volumetric throughput and sensitivity to facilitate early diagnosis. Here, we demonstrate a motility-based label-free computational imaging platform to rapidly detect motile parasites in optically dense bodily fluids by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism. Based on this principle, a cost-effective and mobile instrument, which rapidly screens ~3.2 mL of fluid sample in three dimensions, was built to automatically detect and count motile microorganisms using their holographic time-lapse speckle patterns. We demonstrate the capabilities of our platform

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC6290798 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature