Table of Contents
To improve the navigation through CrazyBioComputing, this page groups all the tables of contents (TOC) of the various chapters I explore with ImageJ in the fields of image processing and analysis...
1- D i g i t a l I m a g e
In this chapter, all the basic concepts of a digital image and its storage are explained.
Part I - Digital Image
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- Exploration of the low-level features of an image file... [TOC]
2- P r o c e s s i n g
Image Enhancement, filtering, denoising and other techniques like mathematical morphology are detailed in this chapter...
Part I - Image Enhancement
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Part I - Measurements, shape descriptors,etc.
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Part II - Applications
With the development of new devices entirely automatized and the increase of the computer power, it is very affordable, nowadays to get 3D data. In this chapter, the main techniques reconstruction are explained from several examples and, of course, scripts are given to understand the mechanisms of the various algorithms...
Part I - Vidéos: 2D + time
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5- M a c h i n e L e a r n i n g
Machine Learning can be used to explore/classify the analysis data calculated by ImageJ. Here are some clues of the ways these algorithms are working...
Table of Contents
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6- Cryo-Electron Microscopy
Part I - Pre-Processing
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Part IV - Learning Tomography
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Part IV - Learning 3D Reconstruction
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7- P r o g r a m m i n g
Once you are familiar with the various tools and menus of ImageJ, it's time to move to the dark side of the force and to start using the programming features of ImageJ via its macro/script. That's really useful specially if you have repetitive tasks and/or if you need precise data exploration. Don't worry, learning a programming language is not so complicated and ...May the Force be with you...
Part I - Using built-in macro language (Obsolete)
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