A5048899487- Inorganic Chemistry and Materials
- Solid-state spectroscopy and crystallography
- Microwave and Dielectric Measurement Techniques
- Magnetism in coordination complexes
- Metallurgy and Material Science
- Material Properties and Applications
- Magnetic properties of thin films
- Gestational Trophoblastic Disease Studies
- Optical Coatings and Gratings
- Phase-change materials and chalcogenides
- Coastal and Marine Management
- Thermodynamic and Structural Properties of Metals and Alloys
- Liquid Crystal Research Advancements
- Metallurgical and Alloy Processes
- Crystal Structures and Properties
- Lymphoma Diagnosis and Treatment
- Lanthanide and Transition Metal Complexes
- Polyoxometalates: Synthesis and Applications
- Semiconductor Lasers and Optical Devices
- Chalcogenide Semiconductor Thin Films
- Rare-earth and actinide compounds
- Superconducting Materials and Applications
- Soil erosion and sediment transport
- Peatlands and Wetlands Ecology
- Physics of Superconductivity and Magnetism
Imperial College London
2017-2024
University of Oxford
2018-2022
University of York
2022
MRC London Institute of Medical Sciences
2017-2020
NIHR Imperial Biomedical Research Centre
2020
Open Data Institute
2018-2019
University of Cambridge
2013-2016
We designed a microfluidic chemostat consisting of 600 sub-micron trapping/growth channels connected to two feeding channels. The microchemostat traps E. coli cells and forces them grow in lines for over 50 generations. Excess cells, including the mother captured at start process, are removed from both ends growth by media flow. With aid time-lapse microscopy, we have monitored dynamic properties such as rate GFP expression single-cell level many generations while maintaining population...
The mean size of exponentially dividing E. coli cells cultured in different nutrient conditions is known to depend on the growth rate only. However, joint fluctuations relating cell size, doubling time and individual are only starting be characterized. Recent studies bacteria (i) revealed near constancy extension a single cycle (adder mechanism), (ii) reported universal trend where spread both times linear function population means these variables. Here, we combine experiments theory use...
Behaviour is a sensitive and integrative readout of nervous system function therefore an attractive measure for assessing the effects mutation or drug treatment on animals. Video data provide rich but high-dimensional representation behaviour, so first step analysis often some form tracking feature extraction to reduce dimensionality while maintaining relevant information. Modern machine-learning methods are powerful notoriously difficult interpret, handcrafted features interpretable do not...
In complex biological systems, simple individual-level behavioral rules can give rise to emergent group-level behavior. While collective behavior has been well studied in cells and larger organisms, the mesoscopic scale is less understood, as it unclear which sensory inputs physical processes matter a priori. Here, we investigate feeding roundworm C. elegans at this intermediate scale, using quantitative phenotyping agent-based modeling identify underlying both aggregation swarming-a dynamic...
A label-free microfluidic assay that uses a drug's UV autofluorescence to directly measure its permeability coefficient across vesicle lipid membranes.
Rapid antigen tests in the form of lateral flow devices (LFDs) allow testing a large population for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To reduce variability device interpretation, we show design and an artifical intelligence (AI) algorithm based on machine learning. The learning (ML) is trained combination artificially hybridized LFDs LFD data linked to quantitative real-time PCR results. Participants are recruited from assisted test sites (ATSs) health care...
High-resolution posture tracking of C. elegans has applications in genetics, neuroscience, and drug screening. While classic methods can reliably track isolated worms on uniform backgrounds, they fail when overlap, coil, or move complex environments. Model-based deep learning approaches have addressed these issues to an extent, but there is still significant room for improvement crawling worms. Here we train a version the DeepTangle algorithm developed swimming using combination data derived...
Abstract An important goal in behaviour analytics is to connect disease state or genome variation with observable differences behaviour. Despite advances sensor technology and imaging, informative quantification remains challenging. The nematode worm C. elegans provides a unique opportunity test analysis approaches because of its small size, compact nervous system, the availability large databases videos freely behaving animals known genetic differences. relative simplicity, there are still...
Changes in tissue architecture and multicellular organisation contribute to many diseases, including cancer cardiovascular diseases. Scratch wound assay is a commonly used tool that assesses cells' migratory ability based on the area of they cover over certain time. However, analysis changes organisational patterns formed by migrating cells following genetic or pharmacological perturbations are not well explored these assays, part because analysing resulting imaging data challenging. Here we...
Ryanodine receptors (RyR) are essential regulators of cellular calcium homeostasis and signaling. Vertebrate genomes contain multiple RyR gene isoforms, expressed in different tissues executing functions. In contrast, invertebrate a single RyR-encoding it has long been proposed that transcripts generated by alternative splicing may diversify their Here, we analyze the expression function exons C . elegans unc-68 We show specific isoform subsets created via promoters Divergent Region 2 (DR2),...
Abstract Behaviour is a sensitive and integrative readout of nervous system function therefore an attractive measure for assessing the effects mutation or drug treatment on animals. Video data provides rich but high-dimensional representation behaviour so first step analysis often some form tracking feature extraction to reduce dimensionality while maintaining relevant information. Modern machine learning methods are powerful notoriously difficult interpret, handcrafted features...
Animal behavior is increasingly being recorded in systematic imaging studies that generate large data sets. To maximize the usefulness of these there a need for improved resources analyzing and sharing will encourage re-analysis method development by computational scientists 1 . However, unlike genomic or protein structural data, are no widely used standards data. It therefore desirable to make available relatively raw form so different investigators can use their own representations derive...
Single-molecule localization microscopy (SMLM) is a super-resolution imaging technique developed to image structures smaller than the diffraction limit. This modality results in sparse and non-uniform sets of localized blinks that need be reconstructed obtain representation tissue. In this paper, we explore use Noise2Noise (N2N) paradigm reconstruct SMLM images. an denoising where neural network trained with only pairs noisy realizations data instead using noisy/clean images, as performed...
In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time horizons. The proposed approach is compared to standard clinical risk predictor (QRISK) and machine learning alternatives using 5-year data NHS Foundation Trust. model outperforms scores in stroke (AUC=0.85) myocardial infarction (AUC=0.89), considering the largest horizon. Benefit of an \gls{mt} setting becomes...
Abstract The nematode C. elegans is a promising model organism to understand the genetic basis of behaviour due its anatomical simplicity. In this work, we present deep learning capable discerning genetically diverse strains based only on their recorded spontaneous activity, and explore how performance changes as different embeddings are used input. outperforms hand-crafted features strain classification when trained directly time series worm postures.
Introduction: Rapid antigen tests, in the form of lateral flow devices (LFD) allow testing a large population for SARS-CoV-2 rapidly either on an asymptomatic or symptomatic basis and have been demonstrated to reduce transmission when used correctly. Compared real time quantitative PCR (RT-qPCR), LFD different sensitivity range viral load, can be self-test, which present challenges lay users interpret especially at low loads. In order variability seen device interpretation, we designed...