Underwater Optical Imaging Technology and its Applications

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.710.408 ◽

2013 ◽

Vol 710 ◽

pp. 408-412

Author(s):

Rong Zeng ◽

Jun Hua He ◽

Pei Lv

Keyword(s):

Compressive Sensing ◽

Optical Imaging ◽

Laser Scanning ◽

Laser Imaging ◽

Imaging Technology ◽

Underwater Laser ◽

Scanning Imaging

The applications of underwater optical imaging technology are reviewed. The main types of underwater laser imaging technology are introduced, such as underwater laser scanning imaging and underwater distance selected imaging. The respective imaging principle and characteristics are presented. Furthermore, the newest imaging technology, such as underwater compressive sensing imaging technology is described in detail. The recent researching status is included.

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Range-gated underwater laser imaging system based on intensified gate imaging technology

10.1117/12.790665 ◽

2008 ◽

Cited By ~ 1

Author(s):

Weiqi Jin ◽

Fengmei Cao ◽

Xia Wang ◽

Guangrong Liu ◽

Youwei Huang ◽

...

Keyword(s):

Imaging System ◽

Laser Imaging ◽

Imaging Technology ◽

Underwater Laser

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Underwater laser scanning system

10.1117/12.48872 ◽

1991 ◽

Cited By ~ 2

Author(s):

Roswell W. Austin ◽

Seibert Q. Duntley ◽

Richard L. Ensminger ◽

Theodore J. Petzold ◽

Raymond C. Smith

Keyword(s):

Laser Scanning ◽

Scanning System ◽

Underwater Laser ◽

Laser Scanning System

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Precision Analysis of the Underwater Laser Scanning System to Measure Benthic Organisms

Advanced Manufacturing and Automation VIII - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-13-2375-1_41 ◽

2018 ◽

pp. 328-336 ◽

Cited By ~ 1

Author(s):

Pingping He ◽

Xu Zhang ◽

Jinbo Li ◽

Liangliang Xie ◽

Dawei Tu

Keyword(s):

Laser Scanning ◽

Scanning System ◽

Benthic Organisms ◽

Precision Analysis ◽

Underwater Laser ◽

Laser Scanning System

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Compressive Sensing Laser Scanning Tech

10.2172/1241654 ◽

2016 ◽

Author(s):

Jun Young Jeon ◽

Eric Brian Flynn

Keyword(s):

Compressive Sensing ◽

Laser Scanning

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Regression-Based Identification of Behavior-Encoding Neurons During Large-Scale Optical Imaging of Neural Activity at Cellular Resolution

Journal of Neurophysiology ◽

10.1152/jn.00702.2010 ◽

2011 ◽

Vol 105 (2) ◽

pp. 964-980 ◽

Cited By ~ 78

Author(s):

Andrew Miri ◽

Kayvon Daie ◽

Rebecca D. Burdine ◽

Emre Aksay ◽

David W. Tank

Keyword(s):

Time Series ◽

Optical Imaging ◽

Neural Activity ◽

Laser Scanning ◽

Large Scale ◽

Neural Encoding ◽

Quantitative Measurements ◽

Cellular Resolution ◽

Activity Measurements ◽

General Regression

The advent of methods for optical imaging of large-scale neural activity at cellular resolution in behaving animals presents the problem of identifying behavior-encoding cells within the resulting image time series. Rapid and precise identification of cells with particular neural encoding would facilitate targeted activity measurements and perturbations useful in characterizing the operating principles of neural circuits. Here we report a regression-based approach to semiautomatically identify neurons that is based on the correlation of fluorescence time series with quantitative measurements of behavior. The approach is illustrated with a novel preparation allowing synchronous eye tracking and two-photon laser scanning fluorescence imaging of calcium changes in populations of hindbrain neurons during spontaneous eye movement in the larval zebrafish. Putative velocity-to-position oculomotor integrator neurons were identified that showed a broad spatial distribution and diversity of encoding. Optical identification of integrator neurons was confirmed with targeted loose-patch electrical recording and laser ablation. The general regression-based approach we demonstrate should be widely applicable to calcium imaging time series in behaving animals.

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