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.
Authors
- Arif E. Çetin (ORCID: https://orcid.org/0000-0002-0788-8108)
- Mehmet Türkan (ORCID: https://orcid.org/0000-0002-9780-9249)
- Meryem Beyza Avci (ORCID: https://orcid.org/0000-0001-8701-2239)
- Fatma Kurul (ORCID: https://orcid.org/0000-0002-6394-3079)
Institutions
- Izmir Institute of Technology (TR)
- Izmir University (TR)
- İzmir University of Economics (TR)
- Dokuz Eylül University (TR)
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
Funders
- İzmir Yüksek Teknoloji Enstitüsü
- National Cancer Institute