Quantitative analysis of fluorescence images using ImageJ - P2P Teaching, Season 3 (In-Person)

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Welcome to the third season of our 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 are pleased to announce 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 will be delivered by Ravindra Gudneppanavar, PhD, from the Bruscia Lab, 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 will learn how to:

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

Requirements:

• Bring a laptop installed and updated with the FIJI and ImageJ software.
• Fluorescence images and analysis scripts will be provided prior to the interactive session.