Microscopic Imaging Through Turbid Media: Monte Carlo Modeling and Applications

Author:   Min Gu ,  Xiaosong Gan ,  Xiaoyuan Deng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2015 ed.
ISBN:  

9783662463963


Pages:   187
Publication Date:   20 April 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Microscopic Imaging Through Turbid Media: Monte Carlo Modeling and Applications


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Overview

This book provides a systematic introduction to the principles of microscopic imaging through tissue-like turbid media in terms of Monte-Carlo simulation. It describes various gating mechanisms based on the physical differences between the un scattered and scattered photons and method for microscopic image reconstruction, using the concept of the effective point spread function. Imaging an object embedded in a turbid medium is a challenging problem in physics as well as in bio photonics. A turbid medium surrounding an object under inspection causes multiple scattering, which degrades the contrast, resolution and signal-to-noise ratio. Biological tissues are typically turbid media. Microscopic imaging through a tissue-like turbid medium can provide higher resolution than transillumination imaging in which no objective is used. This book serves as a valuable reference for engineers and scientists working on microscopy of tissue turbid media.

Full Product Details

Author:   Min Gu ,  Xiaosong Gan ,  Xiaoyuan Deng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2015 ed.
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   4.262kg
ISBN:  

9783662463963


ISBN 10:   3662463962
Pages:   187
Publication Date:   20 April 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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