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
Lab on a chip: A versatile integration with spectroscopic techniques
Date
2020-08-01
Author
Eryılmaz, Merve
Yıldırım, Ender
Tamer, Uğur
Metadata
Show full item record
Item Usage Stats
262
views
0
downloads
Cite This
In the field of biomolecule detection, there are many conventional methods; however, there is a demand for applications that are more sensitive, accurate, and capable of analyzing small sample volumes. Lab-on-a-chip (LOC) devices are promising multifunctional tools for these purposes and the combination of LOC with spectroscopy provides rapid and reliable biomolecule detection. In the LOC system, a high number of analytes can be also detected simultaneously and LOC devices are preferred for both labeled and label-free detection of protein, DNA, cells, and bacteria. Raman spectroscopy and fluorescence spectroscopy have advantages for biomolecules among the other spectroscopic techniques and this chapter is focused on their analytical applications in LOC devices.
Subject Keywords
Lab-on-a-chip
,
Spectroscopy
,
Raman
,
Fluorescence
,
SERS
,
Biomolecule detection
URI
https://www.sciencedirect.com/science/article/pii/B9780128197639000076
https://hdl.handle.net/11511/82882
Relation
Handbook on Miniaturization in Analytical Chemistry
Collections
Department of Mechanical Engineering, Book / Book chapter
Suggestions
OpenMETU
Core
Parameter estimation for instantaneous spectral imaging
Öktem, Sevinç Figen; Davila, Joseph M (2014-05-04)
Spectral imaging is a fundamental diagnostic technique in physical sciences with widespread application. Conventionally, spectral imaging techniques rely on a scanning process, which renders them unsuitable for dynamic scenes. Here we study the problem of estimating the physical parameters of interest from the measurements of a non-scanning spectral imager based on a parametric model. This inverse problem, which can be viewed as a multi-frame deblurring problem, is formulated as a maximum a posteriori (MAP)...
Automatic color accuracy tests for camera performance comparison
HASARPA, Alican; Akar, Gözde (2018-05-05)
There are numerous criteria which are being used to measure camera performance and for determining such criteria, different tests are applied in different test environments. Within this framework, color accuracy testing at camera performance is one of foremost of such tests. In the scope of this paper, a method has been proposed to reduce user interaction in the color accuracy tests in the literature. At the same time, with the color constancy concept, it has been shown that color variation between the diff...
Modeling of a generic laser guided weapon with velocity pursuit guidance and its performance analysis using various control strategies
Güner, Dünya Rauf Levent; Platin, Bülent Emre; Department of Mechanical Engineering (2004)
In this thesis, a base for the modeling and analysis of laser guided weapons is constituted. In particular, the effects of several control schemes on the performance of a generic laser guided weapon system are investigated. In this generic model, it is assumed that the velocity pursuit guidance is employed via a velocity aligning seeker as the sole sensor. The laser seeker is modeled experimentally, based on data obtained by conducting a series of tests. The laser reflection is also modeled. Aerodynamic coe...
Laser induced periodic surface structuring for surface enhanced raman spectroscopy
Özkarslıgil, Zeynep Tuğçe; Bek, Alpan; Department of Physics (2020)
In this study, our aim is to fabricate and characterize efficient substrates of surface enhanced Raman spectroscopy (SERS) utilizing the field enhancement due to hot spots made by recently developed method of laser induced periodic surface structuring (LIPSS). LIPSS is a cost-effective technique for rapid processing of almost any materials compared to conventional lithography methods. Coating of a thin silver film on LIPSS applied substrate surface provides to observe the localized surface plasmon effect fo...
PriorBox: long-tail calibration with priors
Dursun, Abdullah; Cinbiş, Ramazan Gökberk; Department of Computer Engineering (2022-8-31)
Deep learning brought considerable improvements to computer vision, especially in recognition problems such as image classification, object detection, semantic segmentation, instance segmentation, and keypoint detection. These problems have critical applications in the real world, especially in the search, social media, and surveillance domains. Unfortunately, there is still a remarkable accuracy gap between research datasets and real-world deployments caused by data distribution disparity. In particular, m...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Eryılmaz, E. Yıldırım, and U. Tamer,
Lab on a chip: A versatile integration with spectroscopic techniques
. 2020, p. 152.