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Microfluidic-Based Analysis of Trichomonas Vaginalis Attachment and Drug Response Using AI-Based Imaging Algorithm.

Kin Fong Lei^1,2,3, Boreddy Sai Kiran Reddy¹, Hong-Wei Luo⁴

¹Department of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan.

Advanced Biology

|January 10, 2026

Summary

A novel microfluidic platform with AI analysis effectively quantifies Trichomonas vaginalis attachment and drug efficacy. Combination therapy showed superior results for treating this common STI, indicating potential synergistic effects.

Keywords:

AI‐based imaging T. vaginalis drug screening microfluidics parasite attachment

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Area of Science:

Parasitology
Biotechnology
Infectious Diseases

Background:

Trichomonas vaginalis causes the most common non-viral sexually transmitted infection globally.
Rising drug resistance necessitates novel therapeutic evaluation methods.
Current drug screening methods lack efficiency for complex parasitic interactions.

Purpose of the Study:

To develop and validate a microfluidic culture platform integrated with AI for assessing T. vaginalis drug efficacy.
To quantify parasite attachment dynamics under various drug treatments.
To evaluate the efficacy of single and combination therapies against T. vaginalis.

Main Methods:

Development of a microfluidic platform for controlled T. vaginalis exposure to host cells (HeLa, BFTC905).
Integration of an AI-based imaging algorithm for real-time parasite attachment quantification.
Application of spatial color-coded map analysis for drug gradient assessment.

Main Results:

Metronidazole significantly reduced T. vaginalis attachment in a dose-dependent manner.
Combination therapy (metronidazole and paromomycin) demonstrated superior inhibitory effects compared to single drugs.
The microfluidic-AI system provided robust and reproducible results across different cell lines.

Conclusions:

Combination therapy holds promise for managing T. vaginalis infections due to potential synergistic interactions.
The microfluidic-AI system is a valuable tool for high-throughput anti-parasitic drug screening and development.
This technology advances therapeutic evaluation for sexually transmitted infections.