Automated smartphone based cell analysis platform

Cell analysis technologies play a critical role in biomedical research, enabling precise evaluation of essential parameters such as cell viability, density, and confluency. In this article, we introduce Quantella, a smartphone-based platform designed to perform comprehensive cell analysis encompassing these key metrics. Addressing limitations of conventional systems, such as high cost, hardware complexity, and limited adaptability, Quantella integrates low-cost optics, a rinsable flow cell, bluetooth-enabled hardware control, and a cloud-connected mobile application. Its adaptive image-processing pipeline employs multi-exposure fusion, thresholding, and morphological filtering for accurate, morphology-independent segmentation without requiring deep learning or user-defined parameters. System validation studies across diverse cell types showed deviations under 5% from flow cytometry. With the capacity to analyze over 10,000 cells per test, Quantella delivers high-throughput, reproducible results. Its accessible, scalable design makes it a promising tool for biomedical research, diagnostics, and education, particularly in resource-limited settings.

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Publication Details

Journal
npj Imaging
Published
2025-10-22
DOI
https://doi.org/10.1038/s44303-025-00093-z
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated smartphone based cell analysis platform

Arif E. Çetin, Mehmet Türkan, Meryem Beyza Avci, Fatma Kurul
npj Imaging
Cell Image Analysis Techniques
article

Automated smartphone based cell analysis platform

Arif E. Çetin, Mehmet Türkan, Meryem Beyza Avci, Fatma Kurul
article en

Abstract

Cell analysis technologies play a critical role in biomedical research, enabling precise evaluation of essential parameters such as cell viability, density, and confluency. In this article, we introduce Quantella, a smartphone-based platform designed to perform comprehensive cell analysis encompassing these key metrics. Addressing limitations of conventional systems, such as high cost, hardware complexity, and limited adaptability, Quantella integrates low-cost optics, a rinsable flow cell, bluetooth-enabled hardware control, and a cloud-connected mobile application. Its adaptive image-processing pipeline employs multi-exposure fusion, thresholding, and morphological filtering for accurate, morphology-independent segmentation without requiring deep learning or user-defined parameters. System validation studies across diverse cell types showed deviations under 5% from flow cytometry. With the capacity to analyze over 10,000 cells per test, Quantella delivers high-throughput, reproducible results. Its accessible, scalable design makes it a promising tool for biomedical research, diagnostics, and education, particularly in resource-limited settings.

npj ImagingVol. 3(1)
Izmir Institute of Technology (TR), Izmir University (TR), İzmir University of Economics (TR), Dokuz Eylül University (TR)
İzmir Yüksek Teknoloji Enstitüsü, National Cancer Institute
Openalex Percentile: Top 79%
Cell Image Analysis Techniques
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Automated smartphone based cell analysis platform — Arif E. Çetin, Mehmet Türkan, et al. · npj Imaging (2025) | TGRS Research Map | TGRS