18 papers · ranked by Valyu relevance
Deborah Wernly, Charles Beniere, Valerie Besse, Stephanie Seidler + 7 more
In Switzerland, breast cancer is the leading cancer among women, with breast-conserving surgery (BCS) being the preferred treatment for small tumors. The margin status post-surgery is a critical predictor of local recurrence. Achieving negative margins remains a challenge, leading to re-excision in 20-30% of cases.…
Deborah Dardano, Anna Bilotta, Gianmarco Gallucci, Carlo Gentile + 8 more
Background and Clinical Significance: The paper investigates the use of the Histolog® Scanner, a confocal microscopy-based device, as a potential tool for intraoperative neuropathological diagnosis of brain tumors. Traditional intraoperative diagnosis, relying on frozen sections and squash preparations, can introduce…
Irene Cattacin, Timothée Rochat, Anis Feki, Arrigo Fruscalzo + 3 more
'Michel Boulvain' 'Benedetta Guani' 'Samuel Cos'] Title: Simple Summary Breast-conserving surgery is a standard approach in early-stage breast cancer, aiming to remove the tumor while preserving healthy breast tissue. A key challenge is ensuring that the margins of the removed tissue are free of cancer cells, as…
Michael P. Lux, Zlatna Schuller, Sara Heimann, Verena M. C. Reichert + 4 more
'Christian Kersting' 'Horst Buerger' 'Mariana-Felicia Sandor' 'J. Quincy Brown'] Title: Simple Summary Intraoperative margin assessment in breast conserving surgery with classical methods (radiography and ultrasound) has limitations resulting in 15-40% of patients that must undergo a second surgery (re-operation). The…
Jeongun Ryu, Heon Song, Seungeun Lee, Soo Ick Cho + 3 more
Ensuring reliable model performance across diverse domains is a critical challenge in computational pathology. A particular source of variability in Whole-Slide Images is introduced by differences in digital scanners, thus calling for better scanner generalization. This is critical for the real-world adoption of…
Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park + 3 more
Computational pathology (CPath) has shown great potential in mining actionable insights from Whole Slide Images (WSIs). Deep Learning (DL) has been at the center of modern CPath, and while it delivers unprecedented performance, it is also known that DL may be affected by irrelevant details, such as those introduced…
David Nguyen, Thomas C. Larsen, Muyang Wang, R KNUTSEN + 12 more
'Yang Zhihong' 'Eric E. Bennett' 'Dumitru Mazilu' 'Zu‐Xi Yu' 'Xi Tao' 'Danielle Donahue' 'Ahmed M. Gharib' 'Christopher K. E. Bleck' 'Joel Moss' 'Beth A. Kozel' 'Alan T. Remaley' 'Han Wen'] 1. National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA. 2. College of Medicine…
Kanghyun Kim, Amey Chaware, Clare B. Cook, Shiqi Xu + 15 more
'Monica Abdelmalak' 'Colin Cooke' 'Kevin C. Zhou' 'Mark Harfouche' 'Paul Reamey' 'Veton Saliu' 'Jed Doman' 'Clay Dugo' 'Gregor Horstmeyer' 'Richard Davis' 'Ian Taylor-Cho' 'Wen‐Chi Foo' 'Lucas Kreiß' 'Xiaoyin “Sara” Jiang' 'Roarke Horstmeyer'] Kanghyun Kim1 , Amey Chaware1 , Clare B. Cook1 , Shiqi Xu1 , Monica…
Oscar Holmström, Nina Linder, Hannu Moilanen, Antti Suutala + 6 more
In this article we evaluate a prototype of a portable, miniature digital microscope scanner for diagnostic assessment of lymph node frozen sections, obtained during breast cancer surgery. Key features of the device include support for whole slide scanning, cloud-connectivity and the use of significantly more…
Mark D Zarella, Keysabelis Rivera Alvarez
Digital pathology and artificial intelligence (AI) rely on digitization of patient material as a necessary first step. AI development benefits from large sample sizes and diverse cohorts, and therefore efforts to digitize glass slides must meet these needs in an efficient and cost-effective manner. Technical innovation…
Piroz Bahar, David H. Nguyen, Muyang Wang, Dumitru Mazilu + 2 more
'Eric E. Bennett' 'Han Wen'] Abstract: In a linear tomosynthesis scanner designed for imaging histologic samples of several centimeter size at 10 µm resolution, the mechanical instability of the scanning stage (±10 µm) exceeded the resolution of the image system, making it necessary to determine the trajectory of the…
Michael John Fanous, Christopher Michael Seybold, Hanlong Chen, Nir Pillar + 1 more
automated HER2 scoring using deep learning on blurry image data Authors: ['Michael John Fanous' 'Christopher Michael Seybold' 'Hanlong Chen' 'Nir Pillar' 'Aydogan Özcan'] Abstract: We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to…
Luis E. Villegas-Hernández, Vishesh K. Dubey, Hong Mao, Manohar Pradhan + 10 more
Fluorescence-based super-resolution optical microscopy (SRM) techniques allow the visualization of biological structures beyond the diffraction limit of conventional microscopes. Despite its successful adoption in cell biology, the integration of SRM into the field of histology has been deferred due to several…
Anna Schueth, Sven Hildebrand, Iryna Samarska, Shubharthi Sengupta + 5 more
The ability to view human tissue samples in 3D, with both cellular resolution and a large field of view (FOVs), can considerably improve fundamental and clinical investigations. Here, we demonstrate the feasibility of light-sheet imaging of ~50 × 35 × 3 mm (i.e., ~5 cm^3^) sized formalin fixed human brain and up to ~40…
Diana Montezuma, Ana Monteiro, João Fraga, Liliana Ribeiro + 5 more
'Sofia Gonçalves' 'André Tavares' 'João Monteiro' 'Isabel Macedo-Pinto' 'Catarina Eloy'] Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory…
Matthew G. Fay, Peter J. Lang, David S. Denu, Nathan J. O’Connor + 12 more
Three-dimensional (3D) ex vivo imaging of cleared intact brains of animal models and large human and non-human primate postmortem brain specimens is important for understanding the physiological neural network connectivity patterns and the pathological alterations underlying neuropsychiatric and neurological disorders.…
Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Charles M. Laymon, Pauline Maillard + 6 more
Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has been brought benefits such as higher statistical power, reliability, and robustness to the studies. Despite these promises from growth in sample size, substantial technical variability stemming from differences in…
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A thorough understanding of drug pharmacokinetics and target interaction within complex biological environments is critical for successful drug discovery. Quantitative matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI; qMSI) presents a promising avenue for such investigations. While…