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Rapid Single-Cell Phenotypic Antifungal Susceptibility Testing on a SlipChip Enabled by Deep Learning.

Analytical chemistry - 10 Feb 2026

Ren Yan'an, Qin Juanxiu, Li Min, Shen Feng

Abstract excerpt

Fungal infections cause over 1.5 million deaths annually, yet current antifungal susceptibility testing (AFST) methods require 24-48 h, delaying critical treatment decisions. Here, we present a rapid, label-free, single-cell AFST (sc-AFST) platform that integrates a SlipChip microfluidic device with deep learning-based image analysis to determine minimal inhibitory concentrations (MICs) within 4 h. The SlipChip...

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Antifungal Agents
Candida albicans
Deep Learning
Lab-On-A-Chip Devices
Microbial Sensitivity Tests

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Microfluidic Analytical Techniques

Single-Cell Analysis

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PMID: 41568544
DOI: 10.1021/acs.analchem.5c07370

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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