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Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images. Particularly in deep tissue regions, automatic methods still fail to provide error-free segmentations. To improve the segmentation…

Computer Vision and Pattern Recognition · Computer Science 2017-10-19 Johannes Stegmaier , Thiago V. Spina , Alexandre X. Falcão , Andreas Bartschat , Ralf Mikut , Elliot Meyerowitz , Alexandre Cunha

Epithelial tissues play a fundamental role in various morphogenetic events during development and early embryogenesis. Although epithelial monolayers are often modeled as two-dimensional (2D) elastic surfaces, they distinguish themselves…

Soft Condensed Matter · Physics 2020-06-15 Benjamin Loewe , Francesco Serafin , Suraj Shankar , Mark J. Bowick , M. Cristina Marchetti

We consider causal 3-dimensional triangulations with the topology of $S^2\times [0,1]$ or $D^2\times [0,1]$ where $S^2$ and $D^2$ are the two-dimensional sphere and disc, respectively. These triangulations consist of slices and we show that…

Mathematical Physics · Physics 2021-01-29 Bergfinnur Durhuus , Thordur Jonsson

The structure and dynamics of isolated nanosamples in free flight can be directly visualized via single-shot coherent diffractive imaging using the intense and short pulses of X-ray free-electron lasers. Wide-angle scattering images even…

Cell segmentation in microscopy is a challenging problem, since cells are often asymmetric and densely packed. This becomes particularly challenging for extremely large images, since manual intervention and processing time can make…

Image and Video Processing · Electrical Eng. & Systems 2019-06-19 Mahsa Lotfollahi , Sebastian Berisha , Leila Saadatifard , Laura Montier , Jokubas Ziburkus , David Mayerich

Cell detection and segmentation is fundamental for all downstream analysis of digital pathology images. However, obtaining the pixel-level ground truth for single cell segmentation is extremely labor intensive. To overcome this challenge,…

Computer Vision and Pattern Recognition · Computer Science 2019-10-29 Alireza Chamanzar , Yao Nie

Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue. An important step in the characterization of tissue involves nuclei segmentation. In this paper, a two-stage method for segmentation of…

Image and Video Processing · Electrical Eng. & Systems 2020-01-10 David Joon Ho , Shuo Han , Chichen Fu , Paul Salama , Kenneth W. Dunn , Edward J. Delp

Polarization microscopy provides insights into the structure and orientational organization of biomolecules and their architectures in cells. The above key functional signatures, which are natively 3D, can be only detected in 2D for a…

Synthetic generation of three-dimensional cell models from histopathological images aims to enhance understanding of cell mutation, and progression of cancer, necessary for clinical assessment and optimal treatment. Classical reconstruction…

Image and Video Processing · Electrical Eng. & Systems 2021-02-09 Yoav Alon , Xiang Yu , Huiyu Zhou

In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large microscopy datasets on two fronts: (i) It can solve problems…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Jordão Bragantini , Merlin Lange , Loïc Royer

Increasing data set sizes of 3D microscopy imaging experiments demand for an automation of segmentation processes to be able to extract meaningful biomedical information. Due to the shortage of annotated 3D image data that can be used for…

Image and Video Processing · Electrical Eng. & Systems 2022-02-02 Dennis Eschweiler , Richard S. Smith , Johannes Stegmaier

The progress in imaging techniques have allowed the study of various aspect of cellular mechanisms. To isolate individual cells in live imaging data, we introduce an elegant image segmentation framework that effectively extracts cell…

Computer Vision and Pattern Recognition · Computer Science 2016-02-18 Arnaud Browet , Christophe De Vleeschouwer , Laurent Jacques , Navrita Mathiah , Bechara Saykali , Isabelle Migeotte

Recent advances in microphysiological systems have underscored the need for novel sensing and monitoring systems specifically designed for three-dimensional (3D) cell culture. In this article, an original architecture of a cell-culture…

We present feature finding and tracking algorithms in 3D in living cells, and demonstrate their utility to measure metrics important in cell biological processes. We developed a computational imaging hybrid approach that combines automated…

Biological Physics · Physics 2015-04-06 Kemp Plumb , Sarah Elaz , Vincent Pelletier , Maria L. Kilfoil

Cellular electron cryo-tomography enables the 3D visualization of cellular organization in the near-native state and at submolecular resolution. However, the contents of cellular tomograms are often complex, making it difficult to…

Quantitative Methods · Quantitative Biology 2017-12-29 Xiangrui Zeng , Miguel Ricardo Leung , Tzviya Zeev-Ben-Mordehai , Min Xu

Various structures in human physiology follow a treelike morphology, which often expresses complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal blood vessels, and hepatic blood vessels. Large…

Image and Video Processing · Electrical Eng. & Systems 2022-09-23 Hao Li , Zeyu Tang , Yang Nan , Guang Yang

The membrane curvature of cells and intracellular compartments continuously adapts to enable cells to perform vital functions, from cell division to signal trafficking. Understanding how membrane geometry affects these processes in vivo is…

Since its foundations, more than one hundred years ago, the field of structural biology has strived to understand and analyze the properties of molecules and their interactions by studying the structure that they take in 3D space. However,…

Biomolecules · Quantitative Biology 2023-02-27 Gabriele Corso

Ascertaining the collective viability of cells in different cell culture conditions has typically relied on averaging colorimetric indicators and is often reported out in simple binary readouts. Recent research has combined viability…

Quantitative Methods · Quantitative Biology 2024-04-03 Kylie J. Trettner , Jeremy Hsieh , Weikun Xiao , Jerry S. H. Lee , Andrea M. Armani

Current efforts in the biomedical sciences and related interdisciplinary fields are focused on gaining a molecular understanding of health and disease, which is a problem of daunting complexity that spans many orders of magnitude in…

Quantitative Methods · Quantitative Biology 2014-01-24 Julián Candia , Jayanth R. Banavar , Wolfgang Losert