Results 21 to 30 of about 4,206 (188)

Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks

open access: yesIEEE Access, 2021
Although CNNs are widely considered as the state-of-the-art models in various applications of image analysis, one of the main challenges still open is the training of a CNN on high resolution images.
Nadia Brancati   +3 more
doaj   +1 more source

Distributed Seams for Gigapixel Panoramas [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2015
Gigapixel panoramas are an increasingly popular digital image application. They are often created as a mosaic of many smaller images. The mosaic acquisition can take many hours causing the individual images to differ in exposure and lighting conditions. A blending operation is often necessary to give the appearance of a seamless image.
Philip, Sujin   +4 more
openaire   +3 more sources

Virtual alignment of pathology image series for multi-gigapixel whole slide images

open access: yesNature Communications, 2023
Interest in spatial omics is on the rise, but generation of highly multiplexed images remains challenging, due to cost, expertise, methodical constraints, and access to technology. An alternative approach is to register collections of whole slide images (
Chandler D. Gatenbee   +14 more
doaj   +1 more source

Pedro M. Cabezos Bernal, Pablo Rodríguez Navarro, Teresa Gil Piqueras, Juan Cisneros Vivó, Cristian Gil Gil. (2022). Captura fotográfica gigapíxel de obras de arte. Valecnia: edUPV

open access: yesDiségno, 2022
The book Captura fotográfica gigapíxel de obras de arte by Pedro Cabezos Bernal, Pablo Rodríguez Navarro, Teresa Gil Piqueras, Juan Cisneros Vivó, and Cristian Gil Gil, published in 2022 and edited by edUPV, deals with the acquisition and processing of ...
Camilla Ceretelli
doaj   +1 more source

Gigapixel imaging with a novel multi-camera array microscope

open access: yeseLife, 2022
The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once.
Eric E Thomson   +14 more
doaj   +1 more source

Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint

open access: yesPLoS ONE, 2023
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eukaryotes. Light microscopy-based taxonomic identification and enumeration of frustules, the silica shells of these microalgae, is broadly used in aquatic ...
Michael Kloster   +4 more
doaj   +2 more sources

The motivation of technological scenarios in augmented reality (AR): results of different experiments [PDF]

open access: yes, 2019
Augmented Reality (AR) is an emergent technology that is acquiring more and more relevance in teaching every day. Together with mobile technology, this combination arises as one of the most effective binomials to support significant and ubiquitous ...
Cabero Almenara, Julio   +1 more
core   +3 more sources

Fast and robust misalignment correction of Fourier ptychographic microscopy [PDF]

open access: yes, 2018
Fourier ptychographi cmicroscopy(FPM) is a newly developed computational imaging technique that can provide gigapixel images with both high resolution (HR) and wide field of view (FOV).
Chen, Ni   +5 more
core   +2 more sources

Coded aperture compressive temporal imaging [PDF]

open access: yes, 2013
We use mechanical translation of a coded aperture for code division multiple access compression of video. We present experimental results for reconstruction at 148 frames per coded snapshot.Comment: 19 pages (when compiled with Optics Express' TEX ...
Brady, David J.   +7 more
core   +2 more sources

Gigapixel multispectral microscopy

open access: yesOptica, 2015
Understanding the complexity of cellular biology often requires capturing and processing an enormous amount of data. In high-content drug screens, each cell is labeled with several different fluorescent markers and frequently thousands to millions of cells need to be analyzed in order to characterize biology’s intrinsic variability.
Antony Orth   +3 more
openaire   +1 more source

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