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Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue. Segmentation is a required step to characterize and analyze biological structures in the images and…

Computer Vision and Pattern Recognition · Computer Science 2019-04-16 Chichen Fu , Soonam Lee , David Joon Ho , Shuo Han , Paul Salama , Kenneth W. Dunn , Edward J. Delp

Experimental characterization of blood flow in living organisms is crucial for understanding the development and function of cardiovascular systems, but there have been no techniques reported for snapshot imaging of thick samples in large…

Fluorescence spectroscopy is an image correlation technique to analyze and characterize the molecular dynamics from a sequence of fluorescence images. Many image correlation techniques have been developed for different applications [1]. But…

Quantitative Methods · Quantitative Biology 2017-10-24 C. Chen , P. Paul-Gilloteaux , T. Vignaud , J. Salamero , F. Waharte

Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination behavior is a…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Safa Ayadi , Ahmed ben said , Rateb Jabbar , Chafik Aloulou , Achraf Chabbouh , Ahmed Ben Achballah

We present a variation of two-dimensional electronic spectroscopy that is capable of mapping spatially-varying differences in electronic couplings using a correlated map of excitation and detection frequencies, with sensitivity orders of…

The simultaneous expression of the hunchback gene in the numerous nuclei of the developing fly embryo gives us a unique opportunity to study how transcription is regulated in living organisms. A recently developed MS2-MCP technique for…

Blood vessels (BVs) play a critical role in the Tumor Micro-Environment (TME), potentially influencing cancer progression and treatment response. However, manually quantifying BVs in Hematoxylin and Eosin (H&E) stained images is challenging…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Jiaqi Lv , Stefan S Antonowicz , Shan E Ahmed Raza

Sub-visible particle analysis using flow imaging microscopy combined with deep learning has proven effective in identifying particle types, enabling the distinction of harmless components such as silicone oil from protein particles.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Utku Ozbulak , Michaela Cohrs , Hristo L. Svilenov , Joris Vankerschaver , Wesley De Neve

Composed of amino acid chains that influence how they fold and thus dictating their function and features, proteins are a class of macromolecules that play a central role in major biological processes and are required for the structure,…

Quantitative Methods · Quantitative Biology 2022-07-15 Aaron Wang

In understanding and redesigning the function of proteins in modern biochemistry, protein engineers are increasingly focusing on exploring regions in proteins called loops. Analyzing various characteristics of these regions helps the…

The increasing interest in photoactivated proteins as natural replacement of standard inorganic materials in photocells drives to the compared analysis of bacteriorhodopsin and proteorhodopsin, two widely diffused proteins belonging to the…

Biological Physics · Physics 2015-06-16 E Alfinito , J Pousset , L Reggiani , K Lee

Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Sifan Song , Jinfeng Wang , Zilong Wang , Hongxing Wang , Jionglong Su , Xiaowei Ding , Kang Dang

In living cells, intrinsically disordered proteins (IDPs), such as FUS and DDX4, undergo phase separation, forming biomolecular condensates. Using molecular dynamics simulations, we investigate their behavior in their respective homogenous…

Soft Condensed Matter · Physics 2025-11-04 Fuga Watanabe , Takuma Akimoto , Robert B. Best , Kresten Lindorff-Larsen , Ralf Metzler , Eiji Yamamoto

A bio-colloidal drying droplet can be used as a pre-diagnostic technique. However, a successful clinical setting requires a fundamental understanding of the final morphology and the way it is related to the initial state of the constituents…

Soft Condensed Matter · Physics 2021-05-14 Anusuya Pal , Amalesh Gope , Germano S. Iannacchione

The identification of DNA-binding proteins (DBPs) is essential due to their significant impact on various biological activities. Understanding the mechanisms underlying protein-DNA interactions is essential for elucidating various life…

Machine Learning · Computer Science 2026-01-27 A. Quadir , M. Sajid , M. Tanveer

Molecular and morphological characters, as important parts of biological taxonomy, are contradictory but need to be integrated. Organism's image recognition and bioinformatics are emerging and hot problems nowadays but with a gap between…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Jiewen Xiao , Wenbin Liao , Ming Zhang , Jing Wang , Jianxin Wang , Yihua Yang

Plant and animal cells are commonly understood as acquiring specialized functions through differentiation and asymmetric division. However, unique capabilities are also acquired when two or more cells fuse together, mixing cytoplasmic and…

Biological Physics · Physics 2019-06-04 Jesse L. Silverberg , Pei Ying Ng , Roland Baron , Peng Yin

Understanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how…

Cell Behavior · Quantitative Biology 2025-08-20 Ramya Deshpande , Francesco Mottes , Ariana-Dalia Vlad , Michael P. Brenner , Alma dal Co

We introduce DiffFit, a differentiable algorithm for fitting protein atomistic structures into an experimental reconstructed Cryo-Electron Microscopy (cryo-EM) volume map. In structural biology, this process is necessary to…

Quantitative Methods · Quantitative Biology 2025-01-09 Deng Luo , Zainab Alsuwaykit , Dawar Khan , Ondřej Strnad , Tobias Isenberg , Ivan Viola

Determining cell identities in imaging sequences is an important yet challenging task. The conventional method for cell identification is via cell tracking, which is complex and can be time-consuming. In this study, we propose an innovative…

Quantitative Methods · Quantitative Biology 2024-03-05 Baiyang Dai , Jiamin Yang , Hari Shroff , Patrick La Riviere