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Department of Electrical Engineering and Computer Science
Quantum & Biomedical Optics Lab
1. Journal Articles
Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis
Yeo, Chaebeom
;
Park, Hyun-cheol
;
Lee, Kijoon
;
Song, Cheol
Department of Robotics and Mechatronics Engineering
Intelligent Bio-Opto Mechatronics Lab
1. Journal Articles
Department of Electrical Engineering and Computer Science
Quantum & Biomedical Optics Lab
1. Journal Articles
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Title
Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis
Issued Date
2016-01
Citation
Yeo, Chaebeom. (2016-01). Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis. Biomedical Optics Express, 7(1), 93–98. doi: 10.1364/BOE.7.000093
Type
Article
Keywords
embryo
;
Glass Fiber
;
Speckle
;
HEART-RATE
;
Imaging System
;
In-Vivo Measurement
;
Incubation Periods
;
Incubation Time
;
Laser
;
LASER SPECKLE
;
Mathematical Parameters
;
Mathematical Phenomena
;
Multi Channel Diffuse Speckle Contrast Analysis
;
Speckle Contrasts
;
Speckle Imaging
;
SPECTROSCOPY
;
Survival Rate
;
Tissue Blood Flow
;
Tomography
;
Article
;
Biology and Medicine
;
Bird
;
Nonhuman
;
OPTICAL COHERENCE
;
Optical Fiber Channels
;
Optical Fibers
;
Poultry Industry
;
Camera
;
CEREBRAL-BLOOD-FLOW
;
CHICKEN
;
Dimeticone
;
EGG
;
EGG Shell
ISSN
2156-7085
Abstract
Determining the survival rate of avian embryos during incubation is essential for cost-saving in the poultry industry. A multichannel diffuse speckle contrast analysis (DSCA) system, comprising four optical fiber channels, is proposed to achieve noninvasive in vivo measurements of deep tissue flow. The system was able to monitor chick embryo vital signs over the entire incubation period. Moreover, it proved useful in distinguishing between chick embryos in healthy and weakened conditions. ©2015 Optical Society of America.
URI
http://hdl.handle.net/20.500.11750/2557
DOI
10.1364/BOE.7.000093
Publisher
Optical Society of America
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Lee, Kijoon
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Department of Electrical Engineering and Computer Science
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