R. F. Laine

CLEM-Reg: An automated point cloud based registration algorithm for correlative light and volume electron microscopy

CLEM-Reg automates 3D alignment of vCLEM datasets, achieving sub-micron correlation of fluorescent signals with EM structures and enabling identification of TGN46-positive transport carriers.

A method for the fast and photon-efficient analysis of time-domain fluorescence lifetime image data over large dynamic ranges

The paper improves the center-of-mass method for fluorescence lifetime imaging by enhancing photon efficiency and robustness to background noise across large dynamic ranges.

High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation

This paper introduces eSRRF, an enhanced super-resolution imaging method that improves image fidelity and extends to 3D imaging using multi-focus microscopy.

DeepBacs: Bacterial image analysis using open-source deep learning approaches

DeepBacs uses open-source deep learning to analyze bacterial microscopy images, offering tools for segmentation, classification, and phenotyping with applications in antibiotic research.

Content-aware frame interpolation (CAFI): Deep Learning-based temporal super-resolution for fast bioimaging

This paper introduces two deep learning models for improving temporal resolution in bioimaging by interpolating frames between image pairs, reducing phototoxicity and enabling long-term live-cell imaging.

Single-molecule super-resolution imaging of T-cell plasma membrane CD4 redistribution upon HIV-1 binding

This study uses single-molecule super-resolution imaging to quantify nanoscale CD4 redistribution on CD4+ T cells after HIV-1 binding, revealing cluster size and molecule number changes.

Automated cell tracking using StarDist and TrackMate

This paper presents an automated cell tracking pipeline using StarDist and TrackMate for 2D live-cell imaging, applicable to fluorescent and brightfield images without coding knowledge.

Fluctuation-based Super-Resolution Traction Force Microscopy

This paper introduces a method to improve traction force microscopy resolution and throughput using super-resolution microscopy based on fluorophore fluctuation analysis.

OptiJ: Open-source optical projection tomography of large organ samples

OptiJ is an open-source OPT system for 3D imaging of large transparent samples, offering low-cost, modular hardware and software with improved reconstruction capabilities.

Fast fluorescence lifetime imaging reveals the aggregation processes of α-synuclein and polyglutamine in aging Caenorhabditis elegans

This study uses fast TG-FLIM to analyze α-synuclein and polyglutamine aggregation in aging C. elegans, revealing differences in their aggregation kinetics and amyloid-like features.

Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in C. elegans

This study shows that age-dependent protein aggregation in C. elegans forms amyloid-like structures and accelerates tissue functional decline, suggesting a role for protein aggregation in aging.

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

The paper combines structured illumination microscopy with machine learning to analyze and classify virus structures efficiently.

Automating multimodal microscopy with NanoJ-Fluidics

The paper introduces NanoJ-Fluidics, an open-source system for automating multimodal microscopy workflows, demonstrating its ability to perform complex imaging experiments with high reproducibility.