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Deconvolution of Widefield Fluorescence Microscopy Images

Presented by: Brian Northan, Software Engineer, Media Cybernetics 

Deconvolution has proven to be a powerful new tool for performing high-resolution multi-dimensional imaging of biological specimens.  It is used for increasing the sensitivity and improving the resolution of standard widefield microscopes and for improving the resolving capabilities of confocal systems.  Attendees of this live, no-cost webinar will learn about the latest technology for performing deconvolution on widefield (non-confocal) microscope images and understand the relative strengths and weaknesses of several popular algorithms.

Bring your questions to this live, interactive web-based seminar.  

• What is deconvolution and how does it work?
• Discussion on empirical vs. derived point-spread functions
• Uses in fluorescence microscopy
• Difference from confocal imaging
• Pro and cons- where deconvolution works and where it doesn't
• Challenges and advice
• A few before/after examples using Image Pro 3D Constructor

About the Presenter: 
Brian Northan is an AutoQuant Software Engineer with Media Cybernetics. He has a Masters Degree in Computer Engineering from the University of Guelph, Ontario, Canada. His thesis focused on wavelet and neural network approaches to image compression. Brian has spent 6+ years working on AutoQuant software, with extensive experience applying MLE (maximum likelihood estimation) to biomedical imaging problems including 3D blind deconvolution for light microscopy.

 
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