Microscope Image Processing

Microscope Image Processing, Second Edition, introduces the basic fundamentals of image formation in microscopy including the importance of image digitization and display, which are key to quality visualization. Image processing and analysis are discussed in detail to provide readers with the tools necessary to improve the visual quality of images, and to extract quantitative information. Basic techniques such as image enhancement, filtering, segmentation, object measurement, and pattern recognition cover concepts integral to image processing. In addition, chapters on specific modern microscopy techniques such as fluorescence imaging, multispectral imaging, three-dimensional imaging and time-lapse imaging, introduce these key areas with emphasis on the differences among the various techniques.

The new edition discusses recent developments in microscopy such as light sheet microscopy, digital microscopy, whole slide imaging, and the use of deep learning techniques for image segmentation and analysis with big data image informatics and management.

Microscope Image Processing, Second Edition, is suitable for engineers, scientists, clinicians, post-graduate fellows and graduate students working in bioengineering, biomedical engineering, biology, medicine, chemistry, pharmacology and related fields, who use microscopes in their work and would like to understand the methodologies and capabilities of the latest digital image processing techniques or desire to develop their own image processing algorithms and software for specific applications.

《顯微鏡影像處理，第二版》介紹了顯微鏡中影像形成的基本原理，包括影像數位化和顯示的重要性，這對於影像的質量可視化至關重要。詳細討論了影像處理和分析，為讀者提供了改善影像視覺質量和提取定量信息所需的工具。基本技術，如影像增強、濾波、分割、物體測量和模式識別，涵蓋了影像處理的核心概念。此外，專門介紹了特定現代顯微術技術，如螢光成像、多光譜成像、三維成像和時間序列成像，並強調了各種技術之間的差異。

新版討論了顯微術的最新發展，如光片顯微術、數位顯微術、全片影像和使用深度學習技術進行影像分割和分析的大數據影像信息學和管理。《顯微鏡影像處理，第二版》適用於工程師、科學家、臨床醫生、研究生和研究生學生，他們在生物工程、生物醫學工程、生物學、醫學、化學、藥理學和相關領域工作，並在工作中使用顯微鏡，希望了解最新的數位影像處理技術的方法和能力，或者希望為特定應用開發自己的影像處理算法和軟體。