Results 51 to 60 of about 256,301 (236)

CECI-SIM

open access: yes
This dataset is the result of the paper "Faster structured illumination microscopy using complementary encoding-based compressive imaging". It contains SIM and CECI-SIM results of F-actin and MTs.
Zhengqi Huang (17833916)
core   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

open access: yesAdvanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson   +6 more
wiley   +1 more source

Alzheimer’s diagnosis from EEG with reliable probabilities: subject-wise, leakage-free evaluation and isotonic calibration

open access: yesJournal of Engineering and Applied Science
Background Electroencephalography (EEG) provides a low-cost, non-invasive view of millisecond-scale brain dynamics; however, its clinical value depends on reliable probabilities and deployment-aware evaluation, rather than accuracy alone.
Hamed Shamsi
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

ADSLM-SIM

open access: yes
We have designed an all-dielectric metasurface as structured illumination patterns to improve the resolution in SIM. We provide all the codes used for coherent and incoherent SIM reconstruction, generation of illumination patterns, as well as the image ...
Jiayu Ding (18367074)
core   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang   +9 more
wiley   +1 more source

Real-time image processing and display in object size detection based on VC++

open access: yesJournal of Measurement Science and Instrumentation, 2014
Real-time detection for object size has now become a hot topic in the testing field and image processing is the core algorithm. This paper focuses on the processing and display of the collected dynam ic im ages to achieve a real-tim e image processing ...
ZHAI Ya-yu   +3 more
doaj  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark

open access: yes, 2023
<p>In this repository, we present the PacBio and ONT simulated datasets used for benchmarking transcriptome reconstruction tools, as evaluated in the manuscript titled "<i>SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq
Conesa, Ana   +3 more
core   +1 more source

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson   +8 more
wiley   +1 more source

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