Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


case1056659116.pdf (4.4 MB)

ETD Abstract Container

Abstract Header

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

Lin, Chii-Wann
http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116

Abstract Details

1993, Doctor of Philosophy, Case Western Reserve University, Biomedical Engineering.
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+/H+ exchanger blockers, amiloride and its analogs, are tested on the recovery slope of NH4Cl acid-loading technique. The different responses to the amiloride suggest that different set point for the activation of Na+/H+ 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.
Joseph LaManna (Advisor)
172 p.
Optical measurement intracellular pH brain tissue quantitative application artificial neural networks spectral analysis

Recommended Citations

Citations

  • Lin, C.-W. (1993). Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116

    APA Style (7th edition)

  • Lin, Chii-Wann. Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis. 1993. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116.

    MLA Style (8th edition)

  • Lin, Chii-Wann. "Optical measurement of intracellular pH in brain tissue and the quantitative application of artificial neural networks to spectral analysis." Doctoral dissertation, Case Western Reserve University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1056659116

    Chicago Manual of Style (17th edition)

case1056659116
495
© 1993, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.