Pixel super-resolved virtual staining of label-free tissue using diffusion models by Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Hanlong Chen, Aydogan Ozcan

“…This study presents a diffusion model-based pixel super-resolution virtual staining approach utilizing a Brownian bridge process to enhance both the spatial resolution and fidelity of label-free virtual tissue staining, addressing the limitations of traditional deep learning-based methods. …”
Get full text

A computational framework for detecting inter-tissue gene-expression coordination changes with aging by Shaked Briller, Gil Ben David, Yam Amir, Gil Atzmon, Judith Somekh

“…To bridge this gap, we propose a novel computational framework to identify the effect of aging on the coordinated patterns of gene-expression across multiple tissues. Our framework includes (1) an adjusted multi-tissue weighted gene co-expression network analysis, (2) differential network connectivity analysis between age groups and (3) machine learning models, XGBoost and Random Forest (RF) fed by gene expression levels and lower-dimensional pathway score space, to identify unique key inter-tissue genes and biological pathways for classifying aging. …”
Get full text

An automatic method for estimating insect defoliation with visual highlights of consumed leaf tissue regions by Gabriel S. Vieira, Afonso U. Fonseca, Naiane Maria de Sousa, Julio C. Ferreira, Juliana Paula Felix, Christian Dias Cabacinha, Fabrizzio Soares

Get full text

Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists. by Joshua M Lawrenz, Can Cui, Samuel R Johnson, Katherine S Hajdu, Stephen W Chenard, Akhil Rekulapelli, Cullen P Moran, John J Block, Nicholson S Chadwick, Joanna L Shechtel, Brian Bingham, Leo Y Luo, Jennifer L Halpern, Herbert S Schwartz, Ginger E Holt, David S Smith, Benoit Dawant, Hakmook Kang

“…<h4>Introduction</h4>Benign and malignant myxoid soft tissue tumors have shared clinical, imaging, and histologic features that can make diagnosis challenging. …”
Get full text

Mechanical characterization of an origami-inspired super deformable metamaterial with high tunability for tissue engineering by M.A. Bagheri, C.E. Aubin, M.L. Nault, I. Villemure

“…Origami-inspired metamaterials have gained significant attention for their ability to mimic the complex mechanical behavior of biological tissues and their potential applications in advanced surgical treatments. …”
Get full text

Long-term effects of cytostatic agents on germ cells of testicular tissue (experimental study) by T. G. Borovskaya, A. V. Vychuzhanina, Yu. A. Shchemerova, S. I. Kseneva, T. I. Fomina, E. A. Bokhan, V. E. Goldberg

Get full text

Uncovering codon usage patterns during murine embryogenesis and tissue-specific developmental diseases by Sarah E. Fumagalli, Sean Smith, Brian Lin, Rahul Paul, Collin Campbell, Luis Santana-Quintero, Anton Golikov, Juan Ibla, Haim Bar, Anton A. Komar, Anton A. Komar, Ryan C. Hunt, Michael DiCuccio, Chava Kimchi-Sarfaty

“…IntroductionMouse models share significant genetic similarities with humans and have expanded our understanding of how embryonic tissue-specific genes influence disease states. By improved analyses of temporal, transcriptional data from these models, we can capture unique tissue codon usage patterns and determine how deviations from these patterns can influence developmental disorders.MethodsWe analyzed transcriptomic-weighted data from four mouse strains across three different germ layer tissues (liver, heart, and eye) and through embryonic stages. …”
Get full text

Critical steps and troubleshooting in sample preparation for wood and phloem formation: from sampling to microscopic observation by Angela Balzano, Katarina Čufar, Luka Krže, Maks Merela

Get full text

Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy by Gabriel Giardina, Laszlo Papp, Arno Krause, James Marchant, Nestor Pallares-Lupon, Kanchan Kulkarni, Clemens P. Spielvogel, David Haberl, Xu Li, Wolfgang Drexler, Richard D. Walton, Angelika Unterhuber, Marco Andreana

Subjects: Get full text

Effects of Dendrobium nobile Lindl. alkaloids on behavior and hippocampal tissue damage in manganese-exposed rats by Qian LEI, Xiaodong YAO, Yan LI, Mengheng ZOU, Zongyang PAN, Yu CHEN, Jinping LIU, Jida LI, Yuyan CEN

“…Inductively coupled plasma mass spectrometry (ICP-MS) was utilized to measure manganese levels in the blood and brain tissues of the rats, and hematoxylin-eosin (HE) staining was employed to examine neuronal morphological changes in the hippocampal tissues of the rats. …”
Get full text

TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues by Yang Yu, Shuang Wang, Jinpu Li, Meichen Yu, Kyle McCrocklin, Jing-Qiong Kang, Anjun Ma, Qin Ma, Dong Xu, Juexin Wang

“…Abstract The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. …”
Get full text

Graph-Based 3-Dimensional Spatial Gene Neighborhood Networks of Single Cells in Gels and Tissues by Zhou Fang, Kelsey Krusen, Hannah Priest, Mingshuang Wang, Sungwoong Kim, Anirudh Sriram, Ashritha Yellanki, Ankur Singh, Edwin Horwitz, Ahmet F. Coskun

“…Conclusion: 3D-spaGNN-E distinguished distinct CCCs in cell culture and tissue by examining subcellular motifs.…”
Get full text

Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment by Taku Sugiyama, Minghui Tang, Hiroyuki Sugimori, Marin Sakamoto, Miki Fujimura

Subjects: “…Deep learning…”
Get full text

Recent advances in 3D and 4D printing in pharmaceutical technology: applications, challenges, and future perspectives by Alaa H. Salama

Subjects: Get full text

Utilizing Detectron2 for accurate and efficient colon cancer detection in histopathological images by Luxi Chen, Jie Shen, Xinyu Li, Rongzhou Li, Xiaoyun Gao, Xiaoyun Gao, Xinyue Chen, Xinyue Chen, Xiaotian Pan, Xiaotian Pan, Xiaosheng Jin

Subjects: Get full text

Integrating radiomics, artificial intelligence, and molecular signatures in bone and soft tissue tumors: advances in diagnosis and prognostication by Guochao Li, Peipei Feng, Yayun Lin, Peng Liang

“…This systematic review evaluates the integration of radiomics, artificial intelligence (AI), and molecular signatures for diagnosing and prognosticating bone and soft tissue tumors (BSTTs). Following PRISMA 2020 guidelines, we analyzed 24 studies from 1,141 initial records across PubMed, Scopus, Web of Science, and Google Scholar. …”
Get full text

Fertility preservation by ovarian tissue cryopreservation of children in China——umbilical single-incision surgery and perioperative experience by Zheng Qipeng, Liu Jing, Su Yun, Li Zexi, Cao Zhenhua, Chen Meng, Zhou Yan, Zhang Hua, Wang Zecheng, Tian Yu, Ruan Xiangyan, Wu Yurui

“…BackgroundOvarian tissue cryopreservation and transplantation (OTCT) is an effective method for preserving fertility and endocrine function. …”
Get full text

CellMet: Extracting 3D shape and topology metrics from confluent cells within tissues. by Sophie Theis, Mario A Mendieta-Serrano, Bernardo Chapa-Y-Lazo, Juliet Chen, Timothy E Saunders

“…With recent advances in imaging and machine learning, there has been significant progress in our understanding of 3D cell and tissue shape in vivo. …”
Get full text

Refining CT image analysis: Exploring adaptive fusion in U-nets for enhanced brain tissue segmentation. by Bang-Chuan Chen, Chung-Yi Shen, Jyh-Wen Chai, Ren-Hung Hwang, Wei-Chuan Chiang, Chi-Hsiang Chou, Wei-Min Liu

“…<h4>Methods</h4>We introduce an enhanced brain tissue segmentation method for infarction lesion segmentation (ILS). …”
Get full text

Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data by Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan, Bassem Rafiq, Babar Rao

“…These systems assist medical specialists by reducing diagnosis time and accelerating the entire diagnostic process. However, deep learning models require substantial amounts of data for training. …”
Get full text