Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A microfluidic platform for real-time enumeration and high accuracy retrieval of a very low number of cells
Date
2024-10-01
Author
Şahin, Buket
Doğan, Begüm Şen
Özgür, Ebru
Zorlu, Özge
Yıldırım, Ender
Külah, Haluk
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
28
views
0
downloads
Cite This
In recent years, single cell isolation and analysis have become crucial, driven by the need to study rare cells in cell biology research, diagnostics, and personalized medicine. However, existing platforms for isolating small cell numbers are expensive, labor-intensive, and not widely accessible. To address this, we present a low-cost, repeatable microfluidic platform capable of retrieving 1-100 cells with high accuracy and minimal sample loss. The system utilizes a 2D hydrodynamic focusing chip and a pipette tip as a cell reservoir, enhanced by a flexible hydraulic reservoir (FHR) to prevent sample loss. Cells are collected using a syringe pump-driven flow, monitored in real-time under a microscope, and counted using image processing software. To validate the platform, MCF7 breast cancer cells were passed through the microchannel, with target retrieval numbers ranging from 1 to 100 cells. The average retrieved cell count was found to be 1.0 ± 0.0, 9.2 ± 2.4, 46.0 ± 5.9 and 98.5 ± 6.2 for 1, 10, 50, and 100 targeted number of cells, respectively. The counting accuracy of the code was demonstrated by the average deviation between the code count and retrieved number of cells being 0 ± 0.6, -0.3 ± 1.7, -1.6 ± 0.9, and 3.9 ± 4.8, respectively for 1, 10, 50, and 100 targeted cells. The process took less than 10 min, with cell counts matching targets closely and demonstrating high accuracy. Importantly, cell viability remained unaffected post-process. This method offers a cost-effective, robust solution for precise cell counting and retrieval, suitable for various downstream applications.
Subject Keywords
Cell enumeration
,
Cell retrieval
,
Flexible hydraulic reservoir
,
Microfluidic platform
URI
https://hdl.handle.net/11511/111826
Journal
Microfluidics and Nanofluidics
DOI
https://doi.org/10.1007/s10404-024-02767-3
Collections
Department of Mechanical Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Şahin, B. Ş. Doğan, E. Özgür, Ö. Zorlu, E. Yıldırım, and H. Külah, “A microfluidic platform for real-time enumeration and high accuracy retrieval of a very low number of cells,”
Microfluidics and Nanofluidics
, vol. 28, no. 10, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/111826.