Browse Articles

Ocean’s largest chlorophyll-rich tongue is extending westward (2002–2022)

Fish cells persistently infected with nervous necrosis virus produce a small-molecule substance for reducing cellular metabolism and suppressing viral multiplication

Genomic microsatellite characterization and development of polymorphic microsatellites in Eospalax baileyi

A cross-entropy corrected hybrid multiconfiguration pair-density functional theory for complex molecular systems

Association of endothelial nitric oxide synthase (NOS3) rs2070744 variant with advanced retinopathy of prematurity: a case–control study and meta-analysis

Dairy consumption and premature coronary artery disease onset: Iran premature coronary artery disease (IPAD) study insights

Li2ZrF6 protective layer enabled high-voltage LiCoO2 positive electrode in sulfide all-solid-state batteries

Optimal design of tilt integral derivative controller for a boost converter based on swarm-inspired algorithms

Correlation of triglyceride glucose index with all cause mortality in acute myocardial infarction patients following percutaneous coronary intervention

Programming scheduled self-assembly of circadian materials

A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition

The multi-target mechanism of action of Selaginella doederleinii Hieron in the treatment of nasopharyngeal carcinoma: a network pharmacology and multi-omics analysis

Reconfigurable and nonvolatile ferroelectric bulk photovoltaics based on 3R-WS2 for machine vision

An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation

Logical reasoning for human activity recognition based on multisource data from wearable device

Spin polarization induced by atomic strain of MBene promotes the ·O2– production for groundwater disinfection

Generative adversarial synthetic neighbors-based unsupervised anomaly detection

Ascorbic acid-immobilized zinc selenide for electrochemical monitoring of hydrogen peroxide in liver cancer samples

Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy

AbstractOptical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. Our method (i) introduces synthetic aberrations to images acquired on the shallow side of image stacks, making them resemble those acquired deeper into the volume and (ii) trains neural networks to reverse the effect of these aberrations. We use simulations and experiments to show that applying the trained ‘de-aberration’ networks outperforms alternative methods, providing restoration on par with adaptive optics techniques; and subsequently apply the networks to diverse datasets captured with confocal, light-sheet, multi-photon, and super-resolution microscopy. In all cases, the improved quality of the restored data facilitates qualitative image inspection and improves downstream image quantitation, including orientational analysis of blood vessels in mouse tissue and improved membrane and nuclear segmentation in C. elegans embryos.

Noninvasive diagnosis of significant liver fibrosis in patients with chronic hepatitis B using nomogram and machine learning models