Spectral dependence of the intrinsic optical signal of excited states of central gray matter and conformational changes at membrane interfaces

Literature Information

Publication Date 2002-03-14
DOI 10.1039/B109914K
Impact Factor 3.676
Authors

Vera Maura Fernandes de Lima, Marc Weimer, Wolfgang Hanke


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Abstract

Excitation waves and other no-propagation excited states change the optical properties of central gray matter. In transparent tissue, as the retina and the lens are, the intrinsic optical signals (IOS) are macroscopic. This optical signal is created by light scatter and has different components at the red and blue end of the spectrum. The scatter of red light is closely coupled to ionic flow in the extracellular space whereas the blue/green component is the hallmark of propagation onset and probably is coupled to membrane optical properties. The interpretation of the early red scatter as arising from conformational changes coupled to membrane activity led to the prediction that a macroscopic IOS would be present in the transparent lens and that it should present wavelike propagation. Experiments confirmed this prediction.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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