no code implementations • 1 Nov 2023 • W. Mathijs Rozemuller, Steffen Werner, Antonio Carlos Costa, Liam O'Shaughnessy, Greg J. Stephens, Thomas S. Shimizu
Animal locomotion is often subject to constraints arising from anatomical/physiological asymmetries.
1 code implementation • Plos Computational Biology 2021 • Laetitia Hebert, Tosif Ahamed, Antonio C Costa, Liam O'Shaughnessy, Greg J. Stephens
An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging.
no code implementations • 11 Jun 2020 • Steffen Werner, W Mathijs Rozemuller, Annabel Ebbing, Anna Alemany, Joleen Traets, Jeroen S. van Zon, Alexander van Oudenaarden, Hendrik C. Korswagen, Greg J. Stephens, Thomas S. Shimizu
While measurement advances now allow extensive surveys of gene activity (large numbers of genes across many samples), interpretation of these data is often confounded by noise -- expression counts can differ strongly across samples due to variation of both biological and experimental origin.
1 code implementation • bioRxiv 2020 • Katarzyna Bozek, Laetitia Hebert, Yoann Portugal, Greg J. Stephens
We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background.
no code implementations • 31 Dec 2018 • Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens
We provide validated trajectories spanning 3000 video frames of 876 unmarked moving bees in two distinct colonies in different locations and filmed with different pixel resolutions, which we expect to be useful in the further development of general-purpose tracking solutions.
1 code implementation • 11 Sep 2018 • Vudtiwat Ngampruetikorn, David J. Schwab, Greg J. Stephens
The reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood.
Biological Physics
2 code implementations • CVPR 2018 • Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens
Our results provide an important step towards efficient image-based dense object tracking by allowing for the accurate determination of object location and orientation across time-series image data efficiently within one network architecture.