A Machine Vision Perspective on Droplet-Based Microfluidics.

ABSTRACT: Microfluidic droplets, with their unique properties and broad applications, are essential in in chemical, biological, and materials synthesis research. Despite the flourishing studies on artificial intelligence-accelerated microfluidics, most research efforts have focused on the upstream design phase of microfluidic systems. Generating user-desired microfluidic droplets still remains laborious, inefficient, and time-consuming. To address the long-standing challenges associated with the accurate and efficient identification, sorting, and analysis of the morphology and generation rate of single and double emulsion droplets, a novel machine vision approach utilizing the deformable detection transformer (DETR) algorithm is proposed. This method enables rapid and precise detection (detection re

SUBMITTER: Wang JX 

PROVIDER: S-EPMC11848540 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature