Search:
Match:
6 results
Research Paper#Cell Biology, Tissue Mechanics, Mechanotransduction🔬 ResearchAnalyzed: Jan 3, 2026 09:26

Local Shear Suppresses Cell Motion in Stiff Epithelia

Published:Dec 30, 2025 22:13
1 min read
ArXiv

Analysis

This paper investigates the effects of localized shear stress on epithelial cell behavior, a crucial aspect of understanding tissue mechanics. The study's significance lies in its mesoscopic approach, bridging the gap between micro- and macro-scale analyses. The findings highlight how mechanical perturbations can propagate through tissues, influencing cell dynamics and potentially impacting tissue function. The use of a novel mesoscopic probe to apply local shear is a key methodological advancement.
Reference

“Localized shear propagated way beyond immediate neighbors and suppressed cellular migratory dynamics in stiffer layers.”

PermalinkArXiv
Research Paper#Medical Imaging, Deep Learning, Computer Vision🔬 ResearchAnalyzed: Jan 3, 2026 19:46

AI Framework for CMIL Grading

Published:Dec 27, 2025 17:37
1 min read
ArXiv

Analysis

This paper introduces INTERACT-CMIL, a multi-task deep learning framework for grading Conjunctival Melanocytic Intraepithelial Lesions (CMIL). The framework addresses the challenge of accurately grading CMIL, which is crucial for treatment and melanoma prediction, by jointly predicting five histopathological axes. The use of shared feature learning, combinatorial partial supervision, and an inter-dependence loss to enforce cross-task consistency is a key innovation. The paper's significance lies in its potential to improve the accuracy and consistency of CMIL diagnosis, offering a reproducible computational benchmark and a step towards standardized digital ocular pathology.
Reference

“INTERACT-CMIL achieves consistent improvements over CNN and foundation-model (FM) baselines, with relative macro F1 gains up to 55.1% (WHO4) and 25.0% (vertical spread).”

PermalinkArXiv
Research Paper#Bioimaging🔬 ResearchAnalyzed: Jan 3, 2026 19:59

Morphology-Preserving Holotomography for 3D Organoid Analysis

Published:Dec 27, 2025 06:07
1 min read
ArXiv

Analysis

This paper presents a novel method, Morphology-Preserving Holotomography (MP-HT), to improve the quantitative analysis of 3D organoid dynamics using label-free imaging. The key innovation is a spatial filtering strategy that mitigates the missing-cone artifact, a common problem in holotomography. This allows for more accurate segmentation and quantification of organoid properties like dry-mass density, leading to a better understanding of organoid behavior during processes like expansion, collapse, and fusion. The work addresses a significant limitation in organoid research by providing a more reliable and reproducible method for analyzing their 3D dynamics.
Reference

“The results demonstrate consistent segmentation across diverse geometries and reveal coordinated epithelial-lumen remodeling, breakdown of morphometric homeostasis during collapse, and transient biophysical fluctuations during fusion.”

PermalinkArXiv
Research Paper#Biophysics, Tissue Mechanics, Computational Biology🔬 ResearchAnalyzed: Jan 3, 2026 23:59

Necking in Epithelial Tissues: A Simulation Study

Published:Dec 26, 2025 04:25
1 min read
ArXiv

Analysis

This paper investigates the mechanical behavior of epithelial tissues, crucial for understanding tissue morphogenesis. It uses a computational approach (vertex simulations and a multiscale model) to explore how cellular topological transitions lead to necking, a localized deformation. The study's significance lies in its potential to explain how tissues deform under stress and how defects influence this process, offering insights into biological processes.
Reference

“The study finds that necking bifurcation arises from cellular topological transitions and that topological defects influence the process.”

PermalinkArXiv
Research#Cancer🔬 ResearchAnalyzed: Jan 10, 2026 07:37

AI-Powered Prognosis in Colorectal Cancer: Spatial Analysis of Histology and Molecular Data

Published:Dec 24, 2025 14:36
1 min read
ArXiv

Analysis

This research utilizes AI to integrate spatial histology with molecular profiling, a novel approach to improve prognosis in colorectal cancer. The study's focus on epithelial-immune axes highlights its potential to provide a deeper understanding of cancer progression.
Reference

“Spatially resolved survival modelling from routine histology crosslinked with molecular profiling reveals prognostic epithelial-immune axes in stage II/III colorectal cancer.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 10:17

Vertex Model Mechanics Explain the Emergence of Centroidal Voronoi Tiling in Epithelia

Published:Dec 15, 2025 09:15
1 min read
ArXiv

Analysis

This article likely discusses a research paper that uses vertex models to understand the formation of Centroidal Voronoi Tiling (CVT) patterns in epithelial tissues. The focus is on the mechanical forces and cellular interactions that lead to this specific geometric arrangement. The source, ArXiv, indicates this is a pre-print or published research paper.

Key Takeaways

    Reference

    “”

    PermalinkArXiv