Rodrigues, Valquiria C Soares, Juliana C Soares, Andrey C Braz, Daniel C Melendez, Matias Eliseo Ribas, Lucas C Scabini, Leonardo F S Bruno, Odemir M Carvalho, Andre Lopes Reis, Rui Manuel
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Published in
Talanta
The development of simple detection methods aimed at widespread screening and testing is crucial for many infections and diseases, including prostate cancer where early diagnosis increases the chances of cure considerably. In this paper, we report on genosensors with different detection principles for a prostate cancer specific DNA sequence (PCA3)....
Aslam, Tariq M. Mahmood, Sajjad Balaskas, Konstantinos Hoyle, David C.
Published in
Ophthalmology and Therapy
Introduction The aim of this study was to develop a statistical model to determine the visual significance of subretinal fluid (SRF) in combination with other constructed optical coherence tomography (OCT) features in patients with wet age-related macular degeneration. Methods The project used labelled data from 1211 OCTs of patients with neovascul...
Barron, Cécile Devaux, Marie-Françoise Foucat, Loïc Falourd, Xavier Looten, Rachelle Joseph-Aime, Maud Durand, Sylvie Bonnin, Estelle Lapierre, Catherine Saulnier, Luc
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Published in
Biotechnology for Biofuels
BackgroundThe recalcitrance of lignocellulosics to enzymatic saccharification has been related to many factors, including the tissue and molecular heterogeneity of the plant particles. The role of tissue heterogeneity generally assessed from plant sections is not easy to study on a large scale. In the present work, dry fractionation of ground maize...
Matson, Robert S
Published in
Methods in molecular biology (Clifton, N.J.)
Multiplex immunoassays are important tools in basic research and diagnostics. The ability to accurately quantify the presence of several antigens within an individual sample all at once has been useful in developing a proteomics view of biology. This in turn has enabled the development of disease-associated immunodiagnostic panels for better progno...
Salvi, M. Acharya, U. R. Molinari, F. Meiburger, K. M.
Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical images. Due to their powerful learning ability and advantages in dealing with complex patterns, deep learning algorithms are ideal for image analysis challenges, particularly in the field of digital pathology. The variety of image analysis tasks in the...
Xu, K Tremsin, AS Li, J Ushizima, DM Davy, CA Bouterf, A Su, YT Marroccoli, M Mauro, AM Osanna, M
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© 2020 Elsevier Ltd There is renewed interest in using advanced techniques to characterize ancient Roman concrete due to its exceptional durability and low-carbon footprint. In the present work, samples were drilled from the “Hospitium” in Pompeii and were analyzed by synchrotron microtomography (μCT) and neutron radiography to study how the micros...
Alfaro-Almagro, Fidel McCarthy, Paul Afyouni, Soroosh Andersson, Jesper L R Bastiani, Matteo Miller, Karla L Nichols, Thomas E Smith, Stephen M
Published in
NeuroImage
Dealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and non-imaging measures such as lifestyle factors and health outcomes, in part because of the large subject numbers. However, the...
Larmuseau, Michiel Sluydts, Michael Theuwissen, Koenraad Duprez, Lode Dhaene, Tom Cottenier, Stefaan
The promising results of deep learning in image recognition suggest a huge potential for microscopic analyses in materials science. One major challenge for its adoption in the study of materials is the limited number of images that are available to train models on. Herein, we present a methodology to create accurate image recognition models with sm...
Hayward, Mary-Kate Louise Jones, J Hall, Allison King, Lorraine Ironside, Alastair J Nelson, Andrew C Shelley Hwang, E Weaver, Valerie M
Published in
Computational and structural biotechnology journal
Abnormalities in cell nuclear morphology are a hallmark of cancer. Histological assessment of cell nuclear morphology is frequently used by pathologists to grade ductal carcinoma in situ (DCIS). Objective methods that allow standardization and reproducibility of cell nuclear morphology assessment have potential to improve the criteria needed to pre...
Mathur, Vishal R, Bremananth Arya, Pramod Kumar
Published in
Micron (Oxford, England : 1993)
The present paper deals with image analysis of Scanning Electron Microscope (SEM) micrographs of PVC / TiO2 nanocomposites prepared through solution casting technique at different wt% of TiO2 nanofillers dispersed within the PVC matrix. The qualitative and quantitative dispersion of TiO2 nanofillers is estimated through the proposed algorithm based...
