Introduction to a Low-Cost AI-Powered GUI for Unstained Cell Culture Analysis

• URL: http://arxiv.org/abs/2509.11354v1
• Date: Sun, 14 Sep 2025 17:12:17 GMT
• Title: Introduction to a Low-Cost AI-Powered GUI for Unstained Cell Culture Analysis
• Authors: Surajit Das, Pavel Zun,
• Abstract summary: This article presents a novel microscopy image analysis framework designed for low-budget labs equipped with a standard CPU desktop.<n>The Python-based program enables cytometric analysis of live, unstained cells in culture through an advanced computer vision and machine learning pipeline.<n>Its competitive segmentation speed on a CPU-based platform highlights its significant potential for basic research and clinical applications.
• Score: 3.5092739016434567
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This article presents a novel microscopy image analysis framework designed for low-budget labs equipped with a standard CPU desktop. The Python-based program enables cytometric analysis of live, unstained cells in culture through an advanced computer vision and machine learning pipeline. Crucially, the framework operates on label-free data, requiring no manually annotated training data or training phase. It is accessible via a user-friendly, cross-platform GUI that requires no programming skills, while also providing a scripting interface for programmatic control and integration by developers. The end-to-end workflow performs semantic and instance segmentation, feature extraction, analysis, evaluation, and automated report generation. Its modular architecture supports easy maintenance and flexible integration while supporting both single-image and batch processing. Validated on several unstained cell types from the public dataset of livecells, the framework demonstrates superior accuracy and reproducibility compared to contemporary tools like Cellpose and StarDist. Its competitive segmentation speed on a CPU-based platform highlights its significant potential for basic research and clinical applications -- particularly in cell transplantation for personalized medicine and muscle regeneration therapies.

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