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Motility is an essential factor for an organism's survival and diversification. With the advent of novel single-cell technologies, analytical frameworks and theoretical methods, we can begin to probe the complex lives of microscopic motile…

Natural groups of animals, such as swarms of social insects, exhibit astonishing degrees of task specialization, useful to address complex tasks and to survive. This is supported by phenotypic plasticity: individuals sharing the same…

Robotics · Computer Science 2024-02-08 Fuda van Diggelen , Matteo De Carlo , Nicolas Cambier , Eliseo Ferrante , A. E. Eiben

The roundworm C. elegans exhibits robust escape behavior in response to rapidly rising temperature. The behavior lasts for a few seconds, shows history dependence, involves both sensory and motor systems, and is too complicated to model…

Neurons and Cognition · Quantitative Biology 2019-06-19 Bryan C. Daniels , William S. Ryu , Ilya Nemenman

Identifying individual animals in long-duration videos is essential for behavioral ecology, wildlife monitoring, and livestock management. Traditional methods require extensive manual annotation, while existing self-supervised approaches…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Xuyang Fang , Sion Hannuna , Edwin Simpson , Neill Campbell

The intelligent swarm behavior of social insects (such as ants) springs up in different environments, promising to provide insights for the study of embodied intelligence. Researching swarm behavior requires that researchers could…

Computer Vision and Pattern Recognition · Computer Science 2022-04-08 Meihong Wu , Xiaoyan Cao , Shihui Guo

Fingerprints are the most widely deployed form of biometric identification. No two individuals share the same fingerprint because they have unique biometric identifiers. This paper presents an efficient fingerprint verification algorithm…

Computer Vision and Pattern Recognition · Computer Science 2018-12-11 Rahul Kumar Jaiswal , Gaurav Saxena

Camera traps are a proven tool in biology and specifically biodiversity research. However, camera traps including depth estimation are not widely deployed, despite providing valuable context about the scene and facilitating the automation…

Computer Vision and Pattern Recognition · Computer Science 2021-02-11 Timm Haucke , Volker Steinhage

The present paper proposes a novel method of quantification of the variation in biofilm architecture, in correlation with the alteration of growth conditions that include, variations of substrate and conditioning layer. The polymeric…

Biological Physics · Physics 2018-01-30 Suparna Dutta Sinha , Saptarshi Das , Sujata Tarafdar , Tapati Dutta

We propose a general framework for a collaborative machine learning system to assist bioscience researchers with the task of labeling specific cell identities from microscopic still or video imaging. The distinguishing features of this…

Quantitative Methods · Quantitative Biology 2019-03-25 Greg Bubnis , Steven Ban , Matthew D. DiFranco , Saul Kato

Here we present the first method for tracking each leg of a fruit fly behaving spontaneously upon a trackball, in real time. Legs were tracked with infrared-fluorescent dye invisible to the fly, and compatible with two-photon microscopy and…

Neurons and Cognition · Quantitative Biology 2015-06-11 Jamey Kain , Chris Stokes , Quentin Gaudry , Xiangzhi Song , James Foley , Rachel Wilson , Benjamin de Bivort

We analyse the neural dynamics and its relation with the emergent behaviour of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot…

Neurons and Cognition · Quantitative Biology 2020-11-19 Carlos E. Valencia Urbina , Sergio A. Cannas , Pablo M. Gleiser

Facial feature tracking is a key component of imaging ballistocardiography (BCG) where accurate quantification of the displacement of facial keypoints is needed for good heart rate estimation. Skin feature tracking enables video-based…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Jose Ramon Chang , Torbjörn E. M. Nordling

Many animals in their natural habitat exhibit collective motion and form complex patterns to tackle environmental difficulties. Several physical and biological factors, such as animal motility, population densities, and chemical cues, play…

Biological Physics · Physics 2019-06-25 Esin Demir , Y. Ilker Yaman , Askin Kocabas

Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their habitat. However camera trapping framework produces a high…

Computer Vision and Pattern Recognition · Computer Science 2016-03-23 Alexander Gomez , Augusto Salazar , Francisco Vargas

The precise and continuous tracking of millimetric-sized walkers --such as ants-- is quite important in behavioral studies. However, due to technical limitations, most studies concentrate on trajectories within arenas no more than 100 times…

Biological Physics · Physics 2018-12-18 A. Serrano-Muñoz , S. Frayle-Pérez , A. Reyes , Y. Almeida , E. Altshuler , G. Viera-López

Behavioural differences across organisms, whether healthy or pathological, are closely tied to the structure of their neural circuits. Yet, the fine-scale synaptic changes that give rise to these variations remain poorly understood, in part…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Samia Mohinta , Daniel Franco-Barranco , Shi Yan Lee , Albert Cardona

Recent localization frameworks exploit spatial information of complex channel measurements (CMs) to estimate accurate positions even in multipath propagation scenarios. State-of-the art CM fingerprinting(FP)-based methods employ…

Signal Processing · Electrical Eng. & Systems 2022-03-25 Sebastian Kram , Christopher Kraus , Tobias Feigl , Maximilian Stahlke , Jörg Robert , Christopher Mutschler

Gene innovation is a key mechanism on the evolution and phenotypic diversity of life forms. There is a need for tools able to study gene innovation across an increasingly large number of genomic sequences to maximally capitalise our…

Populations and Evolution · Quantitative Biology 2012-12-18 Inti Pedroso , Mark J. F. Brown , Seirian Sumner

Motif discovery is a powerful and insightful method to quantify network structures and explore their function. As a case study, we present a comprehensive analysis of regulatory motifs in the connectome of the model organism Caenorhabditis…

Molecular Networks · Quantitative Biology 2024-09-02 Deepak Sharma , Matthias Renz , Philipp Hövel

Recent efforts to survey the numerous softwares available to perform single molecule tracking (SMT) highlighted a significant dependence of the outcomes on the specific method used, and the limitation encountered by most techniques to…

Quantitative Methods · Quantitative Biology 2019-07-26 Carmine di Rienzo , Paolo Annibale
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