Results 211 to 220 of about 1,951,824 (276)

Analogue optical pattern recognition for cross‐correlational CNN

open access: yesJournal of Microscopy, EarlyView.
Abstract Pattern recognition in convolutional neural networks (CNNs) is computationally intensive due to its reliance on 2D convolutions, requiring significant processing power and time. This paper proposes an analogue optical hardware system to improve CNN efficiency, focusing on forward propagation tasks such as data preparation, correlation, and ...
Ahmed Farhat, Wim J. C. Melis
wiley   +1 more source

A Variational Mean-Field Control Framework for Graph Representation Learning. [PDF]

open access: yesIEEE Trans Pattern Anal Mach Intell
Dan T, Zhou Z, Kim WH, Wu G.
europepmc   +1 more source

From observation to understanding: A multi‐agent framework for smart microscopy

open access: yesJournal of Microscopy, EarlyView.
Abstract Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these systems are now capable of adaptive decision‐making and real‐time experimental control.
P. S. Kesavan, Pontus Nordenfelt
wiley   +1 more source

Erythrocyte ‘Feierzeit’ reaction: Novel filamentous and vesicular response to n‐butyl acetate

open access: yesJournal of Microscopy, EarlyView.
Abstract Human erythrocytes (red blood cells; RBCs) undergo spontaneous disassembly after several hours of exposure to n‐butyl acetate (nBA). Images of the morphological changes were captured in time‐lapse sequences using differential interference contrast (DIC) light microscopy.
Philip W. Kuchel
wiley   +1 more source

Reduced order modelling of air‐puff test for corneal material characterisation

open access: yesJournal of Microscopy, EarlyView.
Abstract Models of the fluid–structure interaction (FSI) model for the air‐puff test were analysed. Using Abaqus, the air‐puff test is applied to eyes with varying biomechanical parameters, such as material properties, corneal thickness, and radius.
Osama M. Maklad, Muting Hao
wiley   +1 more source

When biology meets materials science – Interdisciplinary applications of electron microscopy

open access: yesJournal of Microscopy, EarlyView.
Abstract Research at the interface between biology and materials science creates challenges for electron microscopists. Everything from the sample preparation to the choice of imaging and analytical techniques and the interpretation of the resulting data refuses to sit comfortably within the domain of one discipline or the other.
Martin Saunders   +5 more
wiley   +1 more source

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