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Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how their size affects their behaviour can help ecologists develop…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Alzayat Saleh , Marcus Sheaves , Dean Jerry , Mostafa Rahimi Azghadi

Undulatory locomotion is common to nematodes as well as to limbless vertebrates, but its control is not understood in spite of the identification of hundred of genes involved in Caenorhabditis elegans locomotion. To reveal the mechanisms of…

Neurons and Cognition · Quantitative Biology 2007-06-13 Jan Karbowski , Christopher J. Cronin , Adeline Seah , Jane E. Mendel , Daniel Cleary , Paul W. Sternberg

We study image segmentation in the biological domain, particularly trait segmentation from specimen images (e.g., butterfly wing stripes, beetle elytra). This fine-grained task is crucial for understanding the biology of organisms, but it…

Animals locomote for various reasons: to search for food, find suitable habitat, pursue prey, escape from predators, or seek a mate. The grand scale of biodiversity contributes to the great locomotory design and mode diversity. Various…

Computer Vision and Pattern Recognition · Computer Science 2021-05-27 Soo Min Kang , Richard P. Wildes

Detection and location of moving prey utilizing electrosense or mechanosense is a strategy commonly followed by animals which cannot rely on visual sense or hearing. In this article we consider the possibility to detect the source of a…

Biological Physics · Physics 2009-11-07 Bjoern Naundorf , Jan A. Freund

We illustrate shape mode analysis as a simple, yet powerful technique to concisely describe complex biological shapes and their dynamics. We characterize undulatory bending waves of beating flagella and reconstruct a limit cycle of…

Quantitative Methods · Quantitative Biology 2015-06-22 Steffen Werner , Jochen C. Rink , Ingmar H. Riedel-Kruse , Benjamin M. Friedrich

This paper introduces a novel framework for the automated tracking of cells, with a particular focus on the challenging situation of phase contrast microscopic videos. Our framework is based on a topology preserving variational segmentation…

Quantitative Methods · Quantitative Biology 2012-03-28 Michael Moeller , Martin Burger , Peter Dieterich , Albrecht Schwab

Carbon nanotubes (CNTs) are critical building blocks in nanotechnology, yet the characterization of their dynamic growth is limited by the experimental challenges in nanoscale motion measurement using scanning electron microscopy (SEM)…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Kaveh Safavigerdini , Ramakrishna Surya , Jaired Collins , Prasad Calyam , Filiz Bunyak , Matthew R. Maschmann , Kannappan Palaniappan

Thanks to recent technological advances, it is now possible to track with an unprecedented precision and for long periods of time the movement patterns of many living organisms in their habitat. The increasing amount of data available on…

Populations and Evolution · Quantitative Biology 2015-05-19 Denis Boyer , Peter D. Walsh

A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computations. We investigate how the nematode C. elegans responds to…

Neurons and Cognition · Quantitative Biology 2020-08-18 Mochi Liu , Anuj K Sharma , Joshua W Shaevitz , Andrew M Leifer

Encounter-based network is a frequently-disconnected wireless ad-hoc network requiring immediate neighbors to store and forward aggregated data for information disseminations. Using traditional approaches such as gateways or firewalls for…

Networking and Internet Architecture · Computer Science 2007-06-28 Sapon Tanachaiwiwat , Ahmed Helmy

Tracking all nuclei of an embryo in noisy and dense fluorescence microscopy data is a challenging task. We build upon a recent method for nuclei tracking that combines weakly-supervised learning from a small set of nuclei center point…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Peter Hirsch , Caroline Malin-Mayor , Anthony Santella , Stephan Preibisch , Dagmar Kainmueller , Jan Funke

Free-living nematode Caenorhabditis elegans is a powerful genetic model, essential for investigations ranging from behavior to neuroscience to aging, and locomotion is a key observable used in these studies. However, despite the fact that…

Biological Physics · Physics 2019-01-18 Alejandro Bilbao , Amar K. Patel , Mizanur Rahman , Siva A. Vanapalli , Jerzy Blawzdziewicz

1. Animal movement patterns contribute to our understanding of variation in breeding success and survival of individuals, and the implications for population dynamics. 2. Over time, sensor technology for measuring movement patterns has…

Quantitative Methods · Quantitative Biology 2018-01-11 Leah R. Johnson , Philipp H. Boersch-Supan , Richard A. Phillips , Sadie J. Ryan

The goal of this paper is to label all the animal individuals present in every frame of a video. Unlike previous methods that have principally concentrated on labelling face tracks, we aim to label individuals even when their faces are not…

Computer Vision and Pattern Recognition · Computer Science 2019-10-10 Max Bain , Arsha Nagrani , Daniel Schofield , Andrew Zisserman

Accurate segmentation of critical anatomical structures is at the core of medical image analysis. The main bottleneck lies in gathering the requisite expert-labeled image annotations in a scalable manner. Methods that permit to produce…

Computer Vision and Pattern Recognition · Computer Science 2020-07-09 Yuhang Lu , Weijian Li , Kang Zheng , Yirui Wang , Adam P. Harrison , Chihung Lin , Song Wang , Jing Xiao , Le Lu , Chang-Fu Kuo , Shun Miao

We propose an unsupervised method for detecting and tracking moving objects in 3D, in unlabelled RGB-D videos. The method begins with classic handcrafted techniques for segmenting objects using motion cues: we estimate optical flow and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-09 Adam W. Harley , Yiming Zuo , Jing Wen , Ayush Mangal , Shubhankar Potdar , Ritwick Chaudhry , Katerina Fragkiadaki

How do the same mechanisms that faithfully regenerate complex developmental programs in spite of environmental and genetic perturbations also permit responsiveness to environmental signals, adaptation, and genetic evolution? Using the…

Quantitative Methods · Quantitative Biology 2023-10-20 David J. Jordan , Eric A. Miska

1. Behavioral analysis based on video recording is becoming increasingly popular within research fields such as; ecology, medicine, ecotoxicology, and toxicology. However, the programs available to analyze the data, which are; free of cost,…

Computer Vision and Pattern Recognition · Computer Science 2017-06-09 Alvaro Rodriquez , Hanqing Zhang , Jonatan Klaminder , Tomas Brodin , Patrik L. Andersson , Magnus Andersson

Ubiquitous in eukaryotic organisms, the flagellum is a well-studied organelle that is well-known to be responsible for motility in a variety of organisms. Commonly necessitated in their study is the capability to image and subsequently…

Quantitative Methods · Quantitative Biology 2019-03-22 Benjamin J. Walker , Kenta Ishimoto , Richard J. Wheeler