From Photon to Neuron: Light, Imaging, Vision

(Paperback)

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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 a

Reviews

"From Photon to Neuron: Light, Imaging, Vision completes a trilogy begun by Biological Physics and Physical Models of Living Systems. Those works establish Nelson as the preeminent author of textbooks at the intersection of physics and biology. . . . Nelson uses words, pictures, formulas, and code to teach students how to construct models and interpret data. His books provide a master class in how to integrate those four different approaches into a complete learning experience."---Bradley Roth, Physics Today
"A thorough and sweeping tour from the fundamental physics of light to the neurobiology of the retina, with many asides into modern advances in imaging. Lavishly illustrated and carefully explained. . . . The book itself is a gem."---Snke Johnsen, American Journal of Physics
"As elegant as it is deep. A masterful tour of the science of light and vision, it goes beyond artificial boundaries between disciplines and presents all aspects of light as it appears in physics, chemistry, biology and the neural sciences. . . . In the same way that the author instructs non-physics students in some basic physics concepts and tools, he also provides physicists with accessible and very clear presentations of many biological phenomena involving light. . . . One of the most insightful, cross-disciplinary texts I have read in many years. It is mesmerising and will become a landmark in rigorous, but highly accessible interdisciplinary literature."---Luis Alvarez-Gaum, CERN Courier

Author Bio

Philip Nelson is professor of physics at the University of Pennsylvania. He is the author of Biological Physics and Physical Models of Living Systems, and coauthor of A Student's Guide to Python for Physical Modeling (Princeton). Among other honors, he has received the Biophysical Society's Emily M. Gray Award for educational excellence.