Registration is required.

Welcome to the Peer-to-Peer Teaching Spring Season 2023. These sessions are taught by our own community members to fill knowledge gaps and keep up with the accelerated pace at which bioinformatics grows as well as other data analysis methodologies. 

This session on "Quantitative analysis of fluorescence images using ImageJ" was designed and will be delivered by Ravindra Gudneppanavar, Ph.D who is a Post-doctoral associate in Dr. Emanuela Bruscia Lab, Department of Pediatrics in the Yale School of Medicine. Graduated from the University of Akron, Ohio, USA, Department of Chemistry. Research interests include cystic fibrosis, airway remodeling, cell signaling and fluorescence microscopy. 

LinkedIn: https://www.linkedin.com/in/ravindra-gudneppanavar-63050285/

Description: 

ImageJ is an image processing platform used to edit, process, and analyze the images from various formats. It is a public domain, can be easily accessible and operatable in any operating software. 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 basic morphological assessment of cellular area (pixel) of region of interest (ROI), size, numbers, intensity of ROI, cell tracking over a period and followed by the processes such as contrast variation, sharpening, noise reduction and median filtering. 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 multidimensional 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 counts, area of the cell or ROI, intensity analysis, cell tracking over a period, scratch assay analysis and 3D visualization.

Requirements: 

• Bring a laptop installed and updated with the FIJI software (v 2.13.0).
• Fluorescence images and analysis scripts will be provided prior to the interactive session.