Results 21 to 30 of about 197,897 (274)

Autofocus methods of whole slide imaging systems and the introduction of a second-generation independent dual sensor scanning method

Journal of Pathology Informatics, 2011
Accurate focusing is a critical challenge of whole slide imaging, primarily due to inherent tissue topography variability. Traditional line scanning and tile-based scanning systems are limited in their ability to acquire a high degree of focus points ...
Michael C Montalto, Richard R McKay, Robert J Filkins   +2 more
doaj   +3 more sources

Technology and applications of whole slide imaging. [PDF]

J Oral Maxillofac Pathol, 2023
Palaskar SJ.
europepmc   +3 more sources

Whole slide image registration for the study of tumor heterogeneity [PDF]

, 2018
Consecutive thin sections of tissue samples make it possible to study local variation in e.g. protein expression and tumor heterogeneity by staining for a new protein in each section.
AC Ruifrok, D Ameisen, D Spagnolo, H Avron, L Cooper, M Oheim, M Viergever, MN Gurcan, N Trahearn, SV Costes, T Rohlfing, X Moles Lopez, Y Sucaet   +12 more
core   +2 more sources

Mobile whole slide imaging with Indian twist

Indian Journal of Pathology and Microbiology, 2018
Himanshu Dilip Mulay, Anil K Reddy, Balasaheb R Yelikar   +2 more
doaj   +3 more sources

Virtual microscopy: The future of pathological diagnostics, dental education, and telepathology

Indian Journal of Dental Sciences, 2021
Objectives: The objectives of this study were as follows: (1) to provide an overview of the feasibility, utility, merits, and demerits of virtual microscopy (VM) in pathological diagnostics and (2) to evaluate its advantages in dental and medical ...
R M Vatchala Rani, B C Manjunath, Manas Bajpai, Rohit Sharma, Pooja Gupta, Akshay Bhargava   +5 more
doaj   +1 more source

Synthesizing whole slide images [PDF]

2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), 2015
The increasing availability of digital whole slide images opens new perspectives for computer-assisted image analysis complementing modern histopathology, assuming we can implement reliable and efficient image analysis algorithms to extract the biologically relevant information.
Apou, Gregory, Feuerhake, Friedrich, Forestier, Germain, Naegel, Benoit, Wemmert, Cedric   +4 more
openaire   +2 more sources

An automated blur detection method for histological whole slide imaging. [PDF]

PLoS ONE, 2013
Whole slide scanners are novel devices that enable high-resolution imaging of an entire histological slide. Furthermore, the imaging is achieved in only a few minutes, which enables image rendering of large-scale studies involving multiple ...
Xavier Moles Lopez, Etienne D'Andrea, Paul Barbot, Anne-Sophie Bridoux, Sandrine Rorive, Isabelle Salmon, Olivier Debeir, Christine Decaestecker   +7 more
doaj   +1 more source

Serial optical coherence microscopy for label-free volumetric histopathology [PDF]

, 2020
The observation of histopathology using optical microscope is an essential procedure for examination of tissue biopsies or surgically excised specimens in biological and clinical laboratories.
A Azaripour, A Garcia-Sanz, A Li, AA Eddy, AC Ucero, AJ Schain, C Gillett, C Leahy, CW Merkle, D Huang, DS Richardson, E Min, EA Susaki, H Gong, H Tu, H Wang, H-U Dodt, JP Pezacki, JS Iyer, K Tainaka, LP Hariri, M Belle, MJ Farrar, MP Hiorns, MS Jafri, N Renier, N Roberts, O Assayag, R Tomer, RW Evans, S Sridharan, T Ragan, TT Wong, VJ Srinivasan   +33 more
core   +1 more source

Validation of Whole Slide Imaging in Pathology [PDF]

Analytical Cellular Pathology, 2014
Validation of whole slide imaging (WSI) is an important process for clinical practice. From a vendor perspective, validation seeks to achieve premarket approval from a regulatory agency in order for them to sell their WSI devices for an intended use (e.g., primary diagnosis).
Liron Pantanowitz
doaj   +2 more sources

A Graph-Transformer for Whole Slide Image Classification

IEEE Transactions on Medical Imaging, 2022
Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated to estimate disease grade. However, patch-based methods introduce label noise during training by assuming that each patch is independent with the same ...
Yi Zheng 0006, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama   +6 more
openaire   +3 more sources