Results 131 to 140 of about 2,604,798 (327)

Reviewer #2 (Public Review): Deep Learning Using High-Resolution Images of Forearm Predicts Fracture

, 2023
Roland Chapurlat, Ferrari Serge, Xiaoxu Li, Peng Yu, Min Xu, Bui Min, Sornay-Rendu Elisabeth, lespessailles Eric, Biver Emmanuel, Ego Seeman   +9 more
openalex   +1 more source

Super-resolution imaging with nanopipettes

npj Imaging
Abstract Uncovering structural information of biological systems at the nanoscale is vital for understanding their dynamics and function. Nanoscale imaging techniques that obtain structural information down to the single-molecule level under physiologically relevant conditions and without affecting the fragile structure of biomaterials are ...
Sønderskov, Steffan Møller, Klausen, Lasse Hyldgaard; id_orcid 0000-0003-3004-5958, Skaanvik, Sebastian Amland, Han, Xiaojun, Dong, Mingdong; id_orcid 0000-0002-2025-2171   +4 more
openaire   +4 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Image Super-Resolution via Sparse Bayesian Modeling of Natural Images [PDF]

, 2012
Haichao Zhang, David Wipf, Zhang, Yanning   +2 more
openalex   +1 more source

Far-field linear optical super-resolution imaging via Hermite-Gaussian microscopy

, 2021
Anastasiia V. Pushkina
openalex   +1 more source

The MAMe dataset: on the relevance of high resolution and variable shape image properties [PDF]

, 2022
Ferran Parés, Anna Arias-Duart, Dario García-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta   +6 more
openalex   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution? [PDF]

Sensors (Basel), 2021
Moran M, Faria M, Giraldi G, Bastos L, Conci A.   +4 more
europepmc   +1 more source

An automatic method for impervious surface area extraction by fusing high-resolution night light and Landsat OLI images

, 2020
Pengfei Tang, Zelang Miao, Cong Lin, Peijun Du, Shanchuan Guo   +4 more
openalex   +2 more sources

Long-Term Super-Resolution Imaging of Amyloid Structures Using Transient Binding of Thioflavin T [PDF]

, 2019
Kevin Spehar, Tianben Ding, Yuanzi Sun, Niraja Kedia, Jin Lü, George R. Nahass, Matthew D. Lew, Jan Bieschke   +7 more
openalex   +1 more source