BioTech 62 : Image Processing and Analysis Nov 1-2, 2016 (2 day)
Bioimaging studies are rapidly becoming more quantitative due to enhanced imaging technologies, improved analytical and computational tools, as well as increasingly more stringent scientific scrutiny for accuracy and reproducibility. However, there is a paucity of systematic and introductory surveys easily accessible to biologists when faced with a plethora of technical issues in digital image processing and analyses. The lack of clarity on this issue, compounded by debate over the methods abundant in the niche literature, frequently leads to further confusion for those whose primary expertise is not in digital image processing. Unfortunately, erroneous or misguided application of methods in biological imaging analyses is not uncommon, and this can lead to artificial inflation or suppression of biological significance – often unintentionally. The goal of this two-day hands-on workshop is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information. Participants will install necessary open source software on their own laptops (FAES can provide laptops if necessary) and will be given ample opportunity to work on actual images for truly hands-on learning experience.
WHO SHOULD ATTEND?
Specifically geared toward life scientists, this workshop will survey basic and advanced topics in image processing and analysis.
TOPICS COVERED:
Image Processing: Fundamentals of digital images, the arts and science behind image processing and the ethics of knowing when not to alter an image, morphometry and object segmentation, Fourier transformation in image processing, the concept of color display and how color affects data interpretation.
Image Analysis: Volumetric and intensity measurement, co-localization analysis, the meaning and application of various co-localization indices, quantitative ratiometric image analysis, particle tracking, analysis of protein dynamics and movement.
This is an intensive hands-on workshop. Participants will bring their own laptop (FAES can provide laptops if necessary). Images and plugins used in class will be shared via DropBox prior to class.