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Related Experiment Video

Updated: May 8, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

Automated smartphone based cell analysis platform.

Meryem Beyza Avci^1,2,3, Fatma Kurul¹, Mehmet Turkan²

¹Izmir Biomedicine and Genome Center, Izmir, Turkey.

|October 22, 2025

Summary

This summary is machine-generated.

Quantella is a new smartphone-based cell analysis platform. This accessible technology provides accurate cell viability, density, and confluency measurements, overcoming limitations of traditional methods.

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Last Updated: May 8, 2026

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Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Published on: August 6, 2020

Area of Science:

Biomedical Engineering
Cell Biology
Medical Diagnostics

Background:

Cell analysis is crucial for biomedical research, but conventional systems are costly and complex.
Existing technologies often lack adaptability and accessibility for diverse research settings.

Purpose of the Study:

To introduce Quantella, a novel smartphone-based platform for comprehensive cell analysis.
To address the limitations of current cell analysis technologies, focusing on cost, complexity, and adaptability.

Main Methods:

Quantella integrates low-cost optics, a rinsable flow cell, Bluetooth control, and a mobile app.
An adaptive image-processing pipeline with multi-exposure fusion, thresholding, and morphological filtering enables morphology-independent segmentation.
The system was validated across diverse cell types against flow cytometry.

Main Results:

Quantella achieved deviations under 5% compared to flow cytometry.
The platform can analyze over 10,000 cells per test, delivering high-throughput and reproducible results.
The image-processing pipeline accurately segments cells without deep learning or user-defined parameters.

Conclusions:

Quantella offers an accessible and scalable solution for cell analysis, including viability, density, and confluency.
Its design makes it suitable for biomedical research, diagnostics, and education, especially in resource-limited environments.
This technology democratizes advanced cell analysis capabilities.