Improved Detection of Capillaries in High-Resolution Handheld Vital Microscopy by Use of the MicroTools Advanced Computer Vision Algorithm.

ABSTRACT:

Objective

Handheld vital microscopy (HVM) enables bedside visualization of the microcirculation, with major improvements from sidestream darkfield (SDF) to incident dark field (IDF) imaging. Although IDF offers high-resolution images, standard analysis methods require down-sampling to match SDF's lower field of view (FOV) and pixel density. MicroTools, an automated stabilization and analysis algorithm, has previously been validated for use with SDF image sequences. This study aimed to assess the accuracy and precision of microcirculatory analysis using MicroTools on full-frame, high-resolution IDF images.

Methods

Image sequences from a previous study were re-analyzed in both IDF and down-sampled SDF formats. Microcirculatory parameters-including total vessel density (TVD), f

SUBMITTER: Guerci P 

PROVIDER: S-EPMC12765483 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature