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From Photon to Neuron: Light, Imaging, Vision

Nelson, Philip

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ISBN 10: 0691175195 / ISBN 13: 9780691175195
Published by Princeton University Press
New Condition: New Soft cover
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About this Item

Num Pages: 512 pages, 300 color illus. BIC Classification: PHJ; PHVN; PNFS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 203. Weight in Grams: 300. . 2017. Paperback. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780691175195

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Bibliographic Details

Title: From Photon to Neuron: Light, Imaging, Vision

Publisher: Princeton University Press

Binding: Soft cover

Book Condition: New

About this title

Synopsis:

A richly illustrated undergraduate textbook on the physics and biology of light

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

From the Back Cover:

"Intriguing, useful, and interdisciplinary. Nelson's excellent book provides students with a comprehensive introduction to the interaction between light and biosystems."--Zhong-Can Ou-Yang, Institute of Theoretical Physics, Chinese Academy of Sciences

"The science of light and vision transcends the artificial boundaries between physics, chemistry, and biology. Isaac Newton appreciated this. Phil Nelson does, too. Nelson masterfully blends the natural sciences to explore how we perceive and control light."--Adam Cohen, Harvard University

"This unusual book covers a huge variety of topics on light and vision, from fundamental physics to human visual psychophysics to some of the latest optical-microscopy techniques. Students and researchers alike in the physical and life sciences will find the book fascinating."--King-Wai Yau, Johns Hopkins University School of Medicine

"Nelson has taken a subject usually treated in depth only at the graduate level and developed an understandable and coherent treatment appropriate for undergraduates. He provides a unified framework with which to discuss the disparate ways biological systems interact with light and the variety of ways researchers use light as a biological probe. There is no serious competitor for this book."--Alex J. Levine, University of California, Los Angeles

"Engaging and unique. This is an excellent and well-developed textbook on the physics of light as it is processed by biological organisms and on how light can be used to interrogate biological material. From Photon to Neuron is poised to become a standard text for both physicists and biologists."--Stephanie Palmer, University of Chicago

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