From photon to neuron : light, imaging, vision
Publication details: Princeton University Press 2017 New JerseyDescription: xxviii, 482pISBN:- 9780691175195
- 539 N331f
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PK Kelkar Library, IIT Kanpur | On Display | 539 N331f (Browse shelf(Opens below)) | Available | A186915 |
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530.143 D719p A prelude to quantum field theory | 530.81 H794i An Introduction to gauge-higgs unification extra dimensions in particle physics | 535.3 K131e Electrons and electron microscopy quantum electron microscopy introduction | 539 N331f From photon to neuron light, imaging, vision | 539.721 B293e Emergent gauge symmetries in particle physics and cosmology | 541.0421 H675s Solid-state chemistry | 621.36 An25l Laser beam propagation in random media new and advanced topics |
Students in the physical and life sciences, and in engineering, need to know about the physics and biology of light. Recently, it has become increasingly clear that an understanding of the quantum nature of light is essential, both for the latest imaging technologies and to advance our knowledge of fundamental life processes, such as photosynthesis and human vision. From Photon to Neuron provides undergraduates with an accessible introduction to the physics of light and offers a unified view of a broad range of optical and biological phenomena. Along the way, this richly illustrated textbook builds the necessary background in neuroscience, photochemistry, and other disciplines, with applications to optogenetics, superresolution microscopy, the single-photon response of individual photoreceptor cells, and more.
With its integrated approach, From Photon to Neuron can be used as the basis for interdisciplinary courses in physics, biophysics, sensory neuroscience, biophotonics, bioengineering, or nanotechnology. The goal is always for students to gain the fluency needed to derive every result for themselves, so the book includes a wealth of exercises, including many that guide students to create computer-based solutions. Supplementary online materials include real experimental data to use with the exercises.
Assumes familiarity with first-year undergraduate physics and the corresponding math
Overlaps the goals of the MCAT, which now includes data-based and statistical reasoning
Advanced chapters and sections also make the book suitable for graduate courses
An Instructor’s Guide and illustration package is available to professors
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