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
ANDROID BASED PORTABLE CELL COUNTING SYSTEM FOR LABEL FREE QUANTIFICATION OF DEP MANIPULATED CANCER CELLS
Date
2017-06-22
Author
Aslan, Mahmut Kamil
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
171
views
0
downloads
Cite This
This paper presents a portable system integrating microfluidic dielectrophoresis (DEP) channel with a CMOS imager for label and lens free detection, and real-time counting of MCF-7 breast cancer cells. The DEP device is designed for trapping the MCF-7 that can simultaneously be imaged using a CMOS sensor. An android application is employed in order to record raw CMOS images. Cells are detected and counted using inbuilt image processing operations of the same application. Average counting accuracy of the system is reported as 90%. Additionally, the whole system is powered with the cell phone battery eliminating the need for an external power supply.
Subject Keywords
Lab-on-a-chip (LOC)
,
Android
,
Mobile
,
Dielectrophoresis (DEP)
,
CMOS imaging
,
Label-free
,
MCF-7
,
Fluorescence microscopy
URI
https://hdl.handle.net/11511/52820
Conference Name
19th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
LABEL-FREE DETECTION OF LEUKEMIA CELLS WITH A LAB-ON-A-CHIP SYSTEM INTEGRATING DIELECTROPHORESIS AND CMOS IMAGING
Demircan, Y.; Orguc, S.; Musayev, J.; Ozgur, E.; Erdem, Murat; Gündüz, Ufuk; Eminoglu, S.; Külah, Haluk; Akın, Tayfun (2015-06-25)
This paper presents a fully-integrated lab-on-a-chip (LOC) system for label-free detection and real-time counting of dielectrophoretically trapped multidrug resistant (MDR) K562 cells. The system integrates a parylene-based microfluidic DEP channel on top of a CMOS image sensor for the first time in the literature. The DEP channel can trap MDR K562 cells with 9 V-pp and 10 mu l/min flow rate, and the CMOS image sensor can detect the trapped cells as small as 3 mu m in diameter with a noise level of 28.3 e(-...
Dielectrophoretic detection of imatinib resistance in K562 Cells Using A lab-on-a-chip system
Demircan Yalçın, Yağmur; Toral, Taylan Berkın; Sukaş, Serkan; Yıldırım, Ender; Zorlu, Özge; Gündüz, Ufuk; Külah, Haluk (Chemical and Biological Microsystems Society (CBMS); 2019-10-27)
This study presents label-free detection of imatinib resistance in K562 cells via integrated dielectrophoretic detection and impedimetric counting on a lab-on-a-chip system. Two impedimetric counting units were placed upstream and downstream of dielectrophoretic detection unit to obtain differential cell count and consequently the trapping ratio. The trapping ratio up to 57% was achieved for imatinib resistant (~60-fold) K562 cells, while it was minimized to 20% for wild type K562 cells
A High Throughput Lab-On-A-Chip System for Label Free Quantification of Breast Cancer Cells under Continuous Flow
ASLAN, MUSTAFA YASİN; Yalçın, Yasemin; Ozgur, E.; Gündüz, Ufuk; Eminoglu, S.; Külah, Haluk; Akın, Tayfun (Elsevier BV; 2016-05-27)
This paper presents an LOC system combining microfluidic DEP channel with a CMOS image sensor for label and lens free detection and real-time counting of MCF-7 cells under continuous flow. Trapped and then released MCF-7 cells are accurately detected and counted under flow with a CMOS image sensor integrated underneath the DEP channel, for the first time in the literature. CMOS image sensor can capture 391 frames per second (fps) that allows detection of the released cells flowing through the channel with a...
Capturing and detection of MCF-7 breast cancer cells with a CMOS image sensor
Musayev, Javid; Altiner, Caglar; Adiguzel, Yekbun; Külah, Haluk; Eminoglu, Selim; Akın, Tayfun (2014-08-15)
This paper presents a CMOS image sensor with a 32 x 32 pixel array for cell capture, detection, and quantification. Pixels measuring 15 pm x 15 mu m have a modified structure, suitable for post-CMOS electroless gold plating, which enables surface activation for cell capture without the need for any intermediate layer. This structure also increases the detection probability of captured cells, even when cells are much smaller than the pixel, owing to a special light mask implemented on pixels. Cells as small ...
Column Parallel Incremental Zoom ADC for Uncooled Imaging Applications
Beyenir, Aycan; Akın, Tayfun; Department of Electrical and Electronics Engineering (2022-8-11)
This thesis presents a new column-parallel analog to digital converter (ADC) integrated circuit with high precision (20-bit), high signal-to-noise ratio (119.5 dB), low power incremental Zoom ADC architecture and demonstrates its integration to a 384x288 pixel format analog output microbolometer readout integrated circuit (ROIC) with 25µm pixel pitch. The Zoom ADC is a hybrid of a low-resolution successive approximation register (SAR) ADC and a high-resolution Delta-Sigma ADC. The main aim of this design is...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. K. Aslan and H. Külah, “ANDROID BASED PORTABLE CELL COUNTING SYSTEM FOR LABEL FREE QUANTIFICATION OF DEP MANIPULATED CANCER CELLS,” presented at the 19th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers), Kaohsiung, TAIWAN, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52820.