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2018 WORK ON IMAGE ANALYSIS FOR NEUROSCIENCE

Check out these 4 papers that just came out of our lab. We are collaborating with UVA neuroscientists and biologists to address the most important question in all of engineering and medicine... how does the brain work?
Check out our lastest publications in Google Scholar.
ElasticPath2Path: Automated morphological classification of neurons by elastic path matching

In the study of neurons, morphology influences function. The complexity in the structure of neurons poses a challenge in the identification and analysis of similar and dissimilar neuronal cells...

The Coupled TuFF-BFF Algorithm for Automatic 3D Segmentation of Microglia

We propose an automatic 3D segmentation algorithm for multiphoton microscopy images of microglia. Our method is capable of segmenting tubular and blob-like structures from noisy images...

OSLO: Automatic Cell Counting and Segmentation for Oligodendrocyte Progenitor Cells

Reliable cell counting and segmentation of oligodendrocyte progenitor cells (OPCs) are critical image analysis steps that could potentially unlock mysteries regarding OPC function during pathology....

Nonlinear Shape Regression For Filtering Segmentation Results From Calcium Imaging

A shape filter is presented to repair segmentation results obtained in calcium imaging of neurons in vivo. This post-segmentation algorithm can automatically smooth the preliminary segmentations...

Speckle removal and change preservation by distance-driven anisotropic diffusion of synthetic aperture radar temporal stacks

We propose a method that smoothes spatially and uses, but also preserves, temporal information of synthetic aperture radar image stacks. To provide smoothing of such imagery without effacing temporal changes in the scene...


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WE ARE VIVA!

Learn more about our cool members and excellent alumni! Check out our current work in VIVA and latest publiations in Google Scholar page.

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Scott T. Acton
P.O.Box 400743, Charlottesville, VA 22904
viva.uva@gmail.com