詳細書目資料

3
0
0
0
0

Microscopic imaging through turbid media Monte Carlo modeling and applications / [electronic resource] :

  • 作者: Gu, Min.
  • 其他作者:
  • 其他題名:
    • Biological and medical physics, biomedical engineering
  • 出版: Berlin, Heidelberg : Springer Berlin Heidelberg :Imprint: Springer
  • 叢書名: Biological and medical physics, biomedical engineering
  • 主題: Photonics , Microscopy , Monte Carlo method , Physics , Biophysics and Biological Physics. , Solid state physics , Spectroscopy and Microscopy. , Life Sciences, general. , Medical microbiology , Medicine/Public Health, general.
  • ISBN: 9783662463970 (electronic bk.) 、 9783662463963 (paper)
  • FIND@SFXID: CGU
  • 資料類型: 電子書
  • 內容註: From the contents: Scattering of Light by Small Particles -- Monte-Carlo Simulation for an Optical Microscope -- Effective Point Spread Function -- Angle-Gating Mechanism -- Polarization-Gating Mechanism -- Coherence-Gating Mechanism -- Fluorescence-Gating Mechanism -- Image Reconstruction -- Conclusion.
  • 摘要註: 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 unscattered 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 biophotonics. 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.
  • 讀者標籤:
  • 引用連結:
  • Share:
  • 系統號: 005133560 | 機讀編目格式
  • 館藏資訊

    回到最上