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
An Integrated imaging sensor for rare cell detection applications
Download
index.pdf
Date
2012
Author
Altıner, Çağlar
Metadata
Show full item record
Item Usage Stats
223
views
126
downloads
Cite This
Cell detection using image sensors is a novel and promising technique that can be used for diagnostic applications in medicine. For this purpose, cell detection studies with shadowing method are performed with yeast cells (Saccharomyces cerevisiae) using an 32×32 complementary metal oxide semiconductor (CMOS) image sensor that is sensitive to optical illumination. Cells that are placed zero distance from the sensor surface are detected using the image sensor which is illuminated with four fixed leds to maintain fixed illumination levels in each test. Cells are transferred to the sensor surface with drying the medium they are in, which is phosphate buffered saline (PBS) solution. Yeast cells that are zero distance from the surface are detected with a detection rate of 72%. Then, MCF-7 (breast cancer) cells are detected with the same sensor when the PBS solution is about to dry. To investigate the detection capability of the sensor while the cells are in the PBS solution, the sensor surface is coated with gold in order to immobilize the surface with antibodies. With immobilizing antibodies, cells are thought to be bound to the surface achieving zero distance to the sensor surface. After coating gold, antibodies are immobilized, and same tests are done with MCF-7 cells. In the PBS solution, no sufficient results are obtained with the shadowing technique, but sufficient results are obtained when the solution is about to dry. After achieving cell detection with the image sensor, a similar but large format image sensor is designed. The designed CMOS image sensor has 160×128 pixel array with 15µm pitch. The pixel readout allows capacitive and optical detection. Thus, both DNA and cell detection are possible with this image sensor. The rolling line shutter mode is added for reducing further leakage at pixel readout. Addressing can be done which means specific array points can be investigated, and also array format can be changed for different size cells. The frame rate of the sensor can be adjusted allowing the detection of the fast moving cell samples. All the digital inputs of the sensor can be adjusted manually for the sake of flexibility. A large number of cells can be detected with using this image sensor due to its large format.
Subject Keywords
Cell determination.
,
Cytology
,
Imaging systems in biology.
,
Imaging systems in medicine.
,
Metal oxide semiconductors, Complementary.
URI
http://etd.lib.metu.edu.tr/upload/12615195/index.pdf
https://hdl.handle.net/11511/22186
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
An Improved Receiver for Harmonic Motion Microwave Doppler Imaging
Soydan, Damla Alptekin; Irgin, Umit; Top, Can Baris; Gençer, Nevzat Güneri (2020-03-01)
© 2020 EurAAP.Harmonic motion microwave Doppler imaging is a novel imaging modality that combines focused ultrasound and radar techniques to obtain data based on mechanical and electrical properties of the tissue. In previous experimental studies, the Doppler component of the scattered signal is sensed and used to create 2D images of a tumor inside a homogeneous fat phantom. Due to the drawbacks of the receiver configuration, scanning time was high, the signal-to-noise ratio was low, and the multi-frequency...
An optical fiber radiation sensor for remote detection of radiological materials
Klein, DM; Yukihara, EG; Bulur, Enver; Durham, JS; Akselrod, MS; McKeever, SWS (Institute of Electrical and Electronics Engineers (IEEE), 2005-08-01)
This paper demonstrates the feasibility of a portable radiation sensor system that uses the pulsed optically stimulated luminescence technique to remotely interrogate an aluminum oxide (Al2O3:C) radiation sensor via an optical fiber. The objective is to develop a system for applications requiring simple and inexpensive sensors for widespread monitoring of ionizing radiation levels, which can be remotely interrogated at regular periods with little or no human intervention and are easy to install, operate, an...
A Parametric Estimation Approach to Instantaneous Spectral Imaging
Öktem, Sevinç Figen; Davila, Joseph M (2014-12-01)
Spectral imaging, the simultaneous imaging and spectroscopy of a radiating scene, is a fundamental diagnostic technique in the physical sciences with widespread application. Due to the intrinsic limitation of two-dimensional (2D) detectors in capturing inherently three-dimensional (3D) data, spectral imaging techniques conventionally rely on a spatial or spectral scanning process, which renders them unsuitable for dynamic scenes. In this paper, we present a nonscanning (instantaneous) spectral imaging techn...
A Novel Data-Adaptive Regression Framework Based on Multivariate Adaptive Regression Splines for Electrocardiographic Imaging
Onak, Onder Nazm; Erenler, Taha; Serinağaoğlu Doğrusöz, Yeşim (2021-01-01)
IEEEObjective: Noninvasive electrocardiographic imaging (ECGI) is a promising tool for revealing crucial cardiac electrical events with diagnostic potential. We propose a novel nonparametric regression framework based on multivariate adaptive regression splines (MARS) for ECGI. Methods: The inverse problem was solved by using the regression model trained with body surface potentials (BSP) and corresponding electrograms (EGM). Simulated data as well as experimental data from torso-tank experiments were used ...
A visual object tracking benchmark for cell motility in time-lapse imaging
Demir, H. Seckin; Cetin, A. Enis; Atalay, Rengül (2019-09-01)
Automatic tracking of cells is a widely studied problem in various biomedical applications. Although there are numerous approaches for the video object tracking task in different contexts, the performance of these methods depends on many factors regarding the specific application they are used for. This paper presents a comparative study that specifically targets cell tracking problem and compares performance behavior of the recent algorithms. We propose a framework for the performance evaluation of the tra...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Ç. Altıner, “An Integrated imaging sensor for rare cell detection applications,” M.S. - Master of Science, Middle East Technical University, 2012.