Image mosaic stitching/blending for large scale neuronal tracing from mouse brain images – UROP Spring Symposium 2021

Image mosaic stitching/blending for large scale neuronal tracing from mouse brain images

Jeremy Margolin

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Pronouns: he/him

Research Mentor(s): Dawen Cai, Assistant Professor
Research Mentor School/College/Department: Cell and Developmental Biology; Biophysics; Neuroscience Graduate Program, Michigan Medicine
Presentation Date: Thursday, April 22, 2021
Session: Session 1 (10am-10:50am)
Breakout Room: Room 18
Presenter: 5

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Abstract

Existing knowledge of how brains work is limited. Specifically, there are major gaps in our understanding of the fundamental building blocks and the procedures by which they work together to achieve higher-level brain functions. Modern microscopy techniques permit imaging large brain volume by taking overlapping image tiles with high resolution. This study aims to implement image processing algorithms to stitch such overlapping tiles and blend them into a seamless continuous image. The blended images can then be used to map and functionally reverse engineer the lower-level functions of mice brains. Currently, progress is still being made in the model construction phase. When completed, these models will hopefully allow advanced machine learning algorithms to identify patterns in the neural maps to reverse engineer the brains which has can lead to subsequent breakthroughs in areas like medicine and thought-controlled devices.

Authors: Jeremy Margolin
Research Method: Computer Programming

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