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Citation reference (copy and paste into your CV): 

"Quantitative analysis of fluorescence images using ImageJ - P2P Teaching, Season 3". (December 6th, 2022). 2 hours workshop, Bioinformatics Support Hub, Cushing/Whitney Medical Library, Yale School of Medicine.  https://guides.library.yale.edu/imaging_ImageJ_p2p 

Workshop Summary:

This workshop was part of the third season of the Peer-to-Peer Teaching sessions. These are taught by our own community members to fill knowledge gaps and keep up with the accelerated pace at which bioinformatics grows. This season we were pleased to have sessions covering * Image analysis methodologies (imageJ and QuPath) * Omics analysis in R and/or Python * Biomedical Data analysis using the clusters * Statistical analysis software (Prism) *Science communication (Illustrator).

This session on "Quantitative analysis of fluorescence images using ImageJ " was designed and delivered by Ravindra Gudneppanavar, PhD, from Department of Pediatrics(Respiratory) in the Yale School of Medicine

Summary:

ImageJ is an image processing platform used to edit, process, and analyze the images from various formats. It is a user defined program used for data visualization, advanced image processing and perform statistical analysis. The software supports high throughput analysis and parallel operations at short interval of time. The standard calculations involve assessment of area (pixel), distance, angles, counts and followed by the processes such as contrast variation, sharpening, noise reduction and median filtering. It is a public domain, can be easily accessible and operatable in any operating software. Usage of ImageJ has become a vital part in many scientific research communities. Join us in learning basic concepts of ImageJ which has become a necessity for biomedical researchers and imagers. We will use ImageJ software to analyze and quantify fluorescence microscopic images.

This workshop is designed for: 

Researchers with none to minimal knowledge of performing fluorescence image analysis and quantification of multidimension images.

You have learned how to: 

1. Utilize ImageJ and expose to other analysis platforms available to perform preprocessing, detection, and measurement of any fluorescence microscopic images.
2. Analyze fluorescence microscopic images such as cell count, area of the cell, fluorescence intensity, scratch assay analysis and 3D image analysis.

Duration: 2 hrs

Instructor: Ravindra Gudneppanavar