Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis

Bibliographic Details
Main Author:	Lin, Chii-Wann
Language:	English
Published:	Case Western Reserve University School of Graduate Studies / OhioLINK 1993
Subjects:	Optical measurement intracellular pH brain tissue quantitative application artificial neural networks spectral analysis
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-case10566591162021-08-03T05:30:45Z Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis Lin, Chii-Wann Optical measurement intracellular pH brain tissue quantitative application artificial neural networks spectral analysis Compartmental distribution of protons and associated regulation mechanisms are important aspects of brain functions. The dynamic regulation of proton concentration in brain tissue is essential for maintaining normal metabolic and electrophysiological activities. Two optical methods are used because of their superior spatial and temporal resolution and the potential capability for measurement of multiple ionic species. Neutral red (NR) and carboxy-seminaphthorhodaflur-1 (SNARF-1) are used to measure intracellular pH in hippocampal brain slices and in vivo brain. The evidence suggests that these two dyes locate in different compartments. NR may enter both neuronal and glial compartments while SNARF-1 predominantly stains the neuronal compartment. The different baseline pH i reading observed by using these two dyes also suggest that different pH regulation schemes are used in these two compartments. The effect of the Na<sup>+</sup>/H<sup>+</sup> exchanger blockers, amiloride and its analogs, are tested on the recovery slope of NH<sub>4</sub>Cl acid-loading technique. The different responses to the amiloride suggest that different set point for the activation of Na<sup>+</sup>/H<sup>+</sup> exchanger in these two compartments may operate in the slice pr eparation. Quantitative application of artificial neural network is demonstrated with the spectral recognition for pH value output. A working network can be trained with a set of teaching spectra from a small random connection weight matrix or from one with previous experience by using generalized delta rule and back-propogation for weight modification. The imprinting of principal components of the teaching patterns is distributively stored within the connection weight matrix of the input to hidden layers. A calibration curve needs to be constructed to translate the actual output values of the network to pH values after the convergence with training patterns. The quantitative output during performing phase is the inner product of weight matrix and the input vectors (unknown patterns). This method can thus achieve the real-time quantitative application with learning from example spectra. 1993 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116 http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Optical measurement intracellular pH brain tissue quantitative application artificial neural networks spectral analysis
spellingShingle	Optical measurement intracellular pH brain tissue quantitative application artificial neural networks spectral analysis Lin, Chii-Wann Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
author	Lin, Chii-Wann
author_facet	Lin, Chii-Wann
author_sort	Lin, Chii-Wann
title	Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
title_short	Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
title_full	Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
title_fullStr	Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
title_full_unstemmed	Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis
title_sort	optical measurement of intracellular ph in brain tissue and the quantitative application of artificial neural networks to spectral analysis
publisher	Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate	1993
url	http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116
work_keys_str_mv	AT linchiiwann opticalmeasurementofintracellularphinbraintissueandthequantitativeapplicationofartificialneuralnetworkstospectralanalysis
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Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis

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