Date: Monday, May 11, 2020 to Wednesday, May 13, 2020
Course Type: Complete hands-on course to be conducted online
Requirement: Laptops with preinstalled Fiji (https://imagej.net/Fiji/Downloads) and
CellProfiler (https://cellprofiler.org/releases/) in windows/Linux/Mac operating systems.
Topics
- Module 1: Basics of Images
- Module 2: Image Inspection
- Module 3: Image Filtering, Background Subtraction & Intensity Measurements
- Module 4: Thresholding & Segmentation
- Module 5: Colocalization
- Module 6: Batch Processing
- Module 7: Introduction to CellProfiler
- Module 8: High Content Image Analysis using Cell Profiler
Schedule
- Day1 : 5 hours
- Day2 : 5 hours
- Day3 : 2 hours (Discussion)
Total duration: 12hours
Online Meeting portal will be shared via email for the final participants.
Write to: training [AT] ccamp. res. in to apply!
Last Date of Application: Sunday, May 5, 2020
Course Overview: Microscope images play a crucial role in the investigations of biological systems. With the great advances in light microscopy driving the multi-dimensional imaging data, image processing and analysis becomes inevitable in modern life science research. By increasing the quantity and complexity of the microscopic (imaging) data, considered as a multidimensional numeric data, the advanced computational tools to analyse the data also increases. To extract the useful information from the image data, it is important to understand the basics of images, methods to process images and more importantly skills to use the software tools. In this course we would discuss the basics of image properties, bioimage analysis, efficient methods/tools to use, 2D quantitative image processing, High content image analysis with the complete hands on experience. This course will help the participant to build their optimum image analysis workflow for their own research problem.
- Good Knowledge on Quantitative Image Processing
- Appropriate use of software
- Building optimized Automated Image Analysis workflow
- High Content Image Analysis
Target Audience: Graduate students, Post-docs and Faculties, those who need to analyse their own image data. Basic knowledge in handling microscopic image data. Programming knowledge not required.
