Computer Vision for Microscopy Image Analysis

High-throughput microscopy enables researchers to acquire thousands of images automatically over a short time, making it possible to conduct large-scale, image-based experiments for biological or biomedical discovery. However, visual analysis of large-scale image data is a daunting task. The post-acquisition component of high-throughput microscopy experiments calls for effective and efficient computer vision techniques.

Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth introduction to state-of-the-art computer vision techniques for microscopy image analysis, demonstrating how they can be effectively applied to biological and medical data.

The reader of the book will learn:

• How computer vision analysis can automate and enhance human assessment of microscopy images for discovery
• The important steps in microscopy image analysis
• State-of-the-art methods for microscopy image analysis including machine learning and deep neural network approaches

This reference on the state-of-the-art computer vision methods in microscopy image analysis is suitable for researchers and graduate students interested in analyzing microscopy images or for developing toolsets for general biomedical image analysis applications.

• Each topic contains a comprehensive overview of the field, followed by in-depth presentation of a state-of-the-art approach
• Perspectives and content contributed by both technologists and biologists
• Tackles specific problems of detection, segmentation, classification, tracking, cellular event detection
• Contains the fundamentals of object measurement in microscopy images
• Contains open source data and toolsets for microscopy image analysis on an accompanying website

高通量顯微術使研究人員能夠在短時間內自動獲取數千張圖像，從而有可能進行大規模的基於圖像的生物學或生物醫學實驗。然而，對大規模圖像數據的視覺分析是一項艱巨的任務。高通量顯微術實驗的後續部分需要有效和高效的計算機視覺技術。

《顯微術圖像分析的計算機視覺》提供了對顯微術圖像分析的最新計算機視覺技術的全面深入介紹，並展示了如何將其有效應用於生物和醫學數據。

本書的讀者將學到：
- 計算機視覺分析如何自動化和增強人類對顯微術圖像的發現評估
- 顯微術圖像分析的重要步驟
- 包括機器學習和深度神經網絡方法在內的顯微術圖像分析的最新方法

這本關於顯微術圖像分析中最先進的計算機視覺方法的參考書適合對分析顯微術圖像感興趣的研究人員和研究生，或者對一般生物醫學圖像分析應用工具集的開發感興趣的人。

每個主題都包含該領域的全面概述，然後深入介紹一種最先進的方法。
技術人員和生物學家共同貢獻的觀點和內容。
解決檢測、分割、分類、跟踪、細胞事件檢測等特定問題。
包含顯微術圖像中物體測量的基礎知識。
附帶網站上的顯微術圖像分析的開源數據和工具集。