MATLAB for Scientists: Working with Spreadsheets, Signals, Images & Video in one Platform
- Registration Closed
- Jun 14, 2017
- 09:00 AM to 11:00 AM
- NIH Library Training Room
This session surveys how MATLAB can be applied to accelerate workflows with the most common data types in scientific research:
- For Spreadsheets - we will work with hundreds of files from a 96-well plate reader
- For Signals - we will work with hundreds of files representative of chromatography/spectroscopy data
- For Images - we will work with hundreds of files of microscopy or histology data
- For Video - we will work with video of zebrafish (time permitting)
For each data type, we will follow the general workflow: load data, preprocess, visualize, analyze/perform statistics on, and automate analysis to many files.
Attend the session and receive code examples for each workflow you can adapt to your own work.
Who should attend:
- Experimentalists or those who work with experimental or simulated data of images, signals, or flat files/numerical arrays and want to see how MATLAB can help complete your work faster.
- Engineers/mathematicians/algorithm developers who partner with experimentalists to help them do their work faster.
- Clinicians or anyone else who wants to get a very broad idea for how MATLAB is used in biomedical research.