Image Analysis

Application of high-content microscopy in high-throughput reversed genetic (RNAi, microRNA) and chemical compound screenings has yielded advances in many fields of oncology study. The data managerment and analysis of images and videos from microscopy still remains a field to be explored. Here is a summary of scientific papers, book articles and video courses that guide me through biology-oriented image analysis.

Following software and libraries are used:
  • ImageMagick (a very powerful image processing toolkit, including command-line tools and APIs)
  • OpenCV (mostly for video and computer vision analysis, with however useful functions for images)
  • CellProfiler (software widely used in microscopy high-content screenings, written in Java)
  • ImageJ (image analysis software, written in Java)
Current project:
  • r-opencv: Provides interfaces between R and OpenCV
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