A5005423914- Advanced Electron Microscopy Techniques and Applications
- Cell Image Analysis Techniques
- Single-cell and spatial transcriptomics
- Scientific Computing and Data Management
- Ion-surface interactions and analysis
- Electron and X-Ray Spectroscopy Techniques
- Astronomical Observations and Instrumentation
- Species Distribution and Climate Change
- Ethics and Social Impacts of AI
- Advanced Materials Characterization Techniques
- Neonatal Respiratory Health Research
- Autopsy Techniques and Outcomes
- Advanced X-ray Imaging Techniques
- ATP Synthase and ATPases Research
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Grief, Bereavement, and Mental Health
- AI in cancer detection
Rosalind Franklin Institute
2023-2024
Diamond Light Source
2020-2023
Serial focussed ion beam scanning electron microscopy (FIB/SEM) enables imaging and assessment of subcellular structures on the mesoscale (10 nm to 10 µm). When applied vitrified samples, serial FIB/SEM is also a means target specific in cells tissues while maintaining constituents’ hydration shells for situ structural biology downstream. However, application non-stained cryogenic biological samples limited due low contrast, curtaining, charging artefacts. We address these challenges using...
Abstract Cellular cryo-electron tomography (cryoET) enables the capture of detailed structural information within a biologically relevant environment. However, in more complex samples, such as tissues, is lacking. Importantly, these observations need to be set context populations; imaging on molecular scale to-date limited few in-situ that struggle generalised. This due limitations throughput and versatility employed by current instrumentation. Here, we utilise plasma focused ion beam...
As sample preparation and imaging techniques have expanded improved to include a variety of options for larger sized numbers samples, the bottleneck in volumetric is now data analysis. Annotation segmentation are both common, yet difficult, analysis tasks which required bring meaning data. The SuRVoS application has been updated redesigned provide access manual machine learning-based annotation techniques, including support crowd sourced Combining adjacent, similar voxels (supervoxels)...
Public participation in research, also known as citizen science, is being increasingly adopted for the analysis of biological volumetric data. Researchers working this domain are applying online science a scalable distributed data approach, with recent research demonstrating that non-experts can productively contribute to tasks such segmentation organelles volume electron microscopy This, alongside growing challenge rapidly process large amounts now routinely produced, means there increasing...
Abstract Scanning electron microscopy (SEM) of frozen-hydrated biological samples allows imaging subcellular structures at the mesoscale in their native state. Combined with focused ion beam milling (FIB), serial FIB/SEM can be used to build a 3-dimensional picture cells and tissues. The correlation specific regions interest cryo-electron (cryoEM) additionally enable subsequent high-resolution analysis. However, adoption imaging-based methods is limited due artefacts arising from insulating...
Journal Article Computing for Optimized Biological Microscopy Data Processing and Analysis at The Rosalind Franklin Institute Get access Luís M A Perdigão, Perdigão Institute, Harwell Campus, Didcot, United Kingdom Corresponding author: luis.perdigao@rfi.ac.uk Search other works by this author on: Oxford Academic Google Scholar Neville B-y Yee, Yee Elaine L Ho, Ho Avery H Pennington, Pennington Diamond Light Source, Oliver NF King, King Michele C Darrow, Darrow Mark Basham Microanalysis,...
Many bioimaging research projects require objects of interest to be identified, located, and then traced allow quantitative measurement. Depending on the complexity system imaging, instance segmentation is often done manually, automated approaches still weeks months an individual’s time acquire necessary training data for AI models. As such, there a strong need develop that minimize use expert annotation while maintaining quality challenging image analysis problems. Herein, we present our...
Abstract Public participation in research, also known as citizen science, is being increasingly adopted for the analysis of biological volumetric data. Researchers working this domain are applying online science a scalable distributed data approach, with recent research demonstrating that non-experts can productively contribute to tasks such segmentation organelles volume electron microscopy This, alongside growing challenge rapidly process large amounts now routinely produced, means there...