Image Processing In Life Science

Image Processing In Life Science- Enrichment Course

By: Dr. Aviad Baram, Yoseph (Sefi) Addadi, Dr. Guy Malkinson, Ofra Golani

This is an introductory course on digital image processing directed towards scientists in life science disciplines. The course will cover theory of various image processing concepts. The students will gain hands on practical experience in applying various image processing tools and methods to data collected in life science laboratories. Image processing concepts and techniques will be demonstrated on the open source, freely available, software package: ImageJ.

Course outline:

1. Digital image fundementals (Guy Malkinson, 14.3, PPT)
2. Image enhancement is the spatial domain (Sefi Addadi, 21.3, PDF)
3. Segmentation and Morphological Operations (Aviad Baram, 28.3, PPT)
4. Image enhancement in the frequency domain (Aviad Baram, 4.4)
5. Multi dimensional image processing (Guy Malkinson, 18.4, PPT)
   See also: 3D Processing and Analysis with ImageJ
6. ImageJ Macro Langauge (Aviad Baram, 2.5)
7. Image Analysis Applications (Maya Dadiani, Zvi Kam, 9.5)

Links to Image Analysis Courses

Image Processing and Analysis Courses @ EMBL (ImageJ)

Stefan Terjung: Basics in Image Processing, EMBL

Yury Belyaev: Rendering and analysis of confocal datasets, EMBL

Biological Image Analysis Primer

Image Analysis Course at TU Delft (MATLAB and DIPimage Toolbox)

Fundamentals of Image Processing an online Image Processing Book from TU Delft

Image analysis for biology,MBL Physiology Course 2008. (Introduction to Image Analysis using Matlab)

Basic Image Processing by Dr. Arne Seitz @ EPFL. Authors of many ImageJ plugins.