M. L. Jones

Replaying the tape of ecology to domesticate wild microbiomes

The paper demonstrates that bacterial community dynamics can be predicted and controlled by analyzing initial community composition and environmental conditions.

Bridging Imaging Users to Imaging Analysis - A community survey

The paper surveys imaging users and developers to identify needs and gaps in image analysis tools and education, highlighting demands for documentation, tutorials, and user-friendly software.

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.

Exploring the potential of using simulation games for engaging with sheep farmers about lameness recognition

This study evaluates a simulation game designed to help sheep farmers recognize lameness, finding no link between game performance and real-life experience but noting potential for future development.

Crosshair, semi-automated targeting for electron microscopy with a motorised ultramicrotome

The paper introduces a semi-automated workflow for targeting regions of interest in resin-embedded samples using a motorised ultramicrotome and an open-source Fiji plugin called Crosshair.

Volumetric Semantic Instance Segmentation of the Plasma Membrane of HeLa Cells

This paper describes an unsupervised method for volumetric semantic segmentation of HeLa cell plasma membranes using serial block face scanning electron microscopy data.

Citizen science, cells and CNNs - deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations

This paper trains a deep learning model to automatically segment the nuclear envelope in electron microscopy data using volunteer annotations from a citizen science project.

Geometric differences between nuclear envelopes of Wild-type and Chlamydia trachomatis-infected HeLa cells

The paper compares geometric features of nuclear envelopes in wild-type and Chlamydia trachomatis-infected HeLa cells using electron microscopy and spheroid modeling.

Semantic Segmentation of HeLa Cells: An Objective Comparison between one Traditional Algorithm and Three Deep-Learning Architectures

This paper compares a traditional image-processing algorithm with three deep learning models for semantic segmentation of HeLa cells, finding the traditional method outperforms all deep learning architectures.

Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms

The paper investigates invasion resistance in natural bacterial communities and finds productivity is a key predictor of resistance, mediating the effect of community composition.