Search Results - "Griffié, Juliette"

Refine Results
  1. 1

    Machine learning for cluster analysis of localization microscopy data by Williamson, David J., Burn, Garth L., Simoncelli, Sabrina, Griffié, Juliette, Peters, Ruby, Davis, Daniel M., Owen, Dylan M.

    Published in Nature communications (20-03-2020)
    “…Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships…”
    Get full text
    Journal Article
  2. 2

    Event-driven acquisition for content-enriched microscopy by Mahecic, Dora, Stepp, Willi L., Zhang, Chen, Griffié, Juliette, Weigert, Martin, Manley, Suliana

    Published in Nature methods (01-10-2022)
    “…A common goal of fluorescence microscopy is to collect data on specific biological events. Yet, the event-specific content that can be collected from a sample…”
    Get full text
    Journal Article
  3. 3

    An agent-based model of molecular aggregation at the cell membrane by Griffié, Juliette, Peters, Ruby, Owen, Dylan M

    Published in PloS one (07-02-2020)
    “…Molecular clustering at the plasma membrane has long been identified as a key process and is associated with regulating signalling pathways across cell types…”
    Get full text
    Journal Article
  4. 4

    Strategies for increasing the throughput of super-resolution microscopies by Mahecic, Dora, Testa, Ilaria, Griffié, Juliette, Manley, Suliana

    Published in Current opinion in chemical biology (01-08-2019)
    “…Fluorescence microscopy methods have been developed to circumvent the diffraction limit by exploiting nonlinearities in the interactions between light and…”
    Get full text
    Journal Article
  5. 5

    Correction of multiple-blinking artifacts in photoactivated localization microscopy by Jensen, Louis G., Hoh, Tjun Yee, Williamson, David J., Griffié, Juliette, Sage, Daniel, Rubin-Delanchy, Patrick, Owen, Dylan M.

    Published in Nature methods (01-05-2022)
    “…Photoactivated localization microscopy (PALM) produces an array of localization coordinates by means of photoactivatable fluorescent proteins. However,…”
    Get full text
    Journal Article
  6. 6

    Fluorescent d‑Amino Acids for Super-resolution Microscopy of the Bacterial Cell Wall by Zhang, Chen, Reymond, Luc, Rutschmann, Ophélie, Meyer, Mischa A., Denereaz, Julien, Qiao, Jiangtao, Ryckebusch, Faustine, Griffié, Juliette, Stepp, Willi L., Manley, Suliana

    Published in ACS chemical biology (16-09-2022)
    “…Fluorescent d-amino acids (FDAAs) have previously been developed to enable in situ highlighting of locations of bacterial cell wall growth. Most bacterial…”
    Get full text
    Journal Article
  7. 7

    Cluster analysis for localisation-based data sets: dos and don'ts when quantifying protein aggregates by Panconi, Luca, Owen, Dylan M, Griffié, Juliette

    Published in Frontiers in bioinformatics (2023)
    “…Many proteins display a non-random distribution on the cell surface. From dimers to nanoscale clusters to large, micron-scale aggregations, these distributions…”
    Get full text
    Journal Article
  8. 8

    Quantitative fibre analysis of single-molecule localization microscopy data by Peters, Ruby, Griffié, Juliette, Burn, Garth L., Williamson, David J., Owen, Dylan M.

    Published in Scientific reports (10-07-2018)
    “…Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous…”
    Get full text
    Journal Article
  9. 9

    Multi-color Molecular Visualization of Signaling Proteins Reveals How C-Terminal Src Kinase Nanoclusters Regulate T Cell Receptor Activation by Simoncelli, Sabrina, Griffié, Juliette, Williamson, David J., Bibby, Jack, Bray, Cara, Zamoyska, Rose, Cope, Andrew P., Owen, Dylan M.

    Published in Cell reports (Cambridge) (22-12-2020)
    “…Elucidating the mechanisms that controlled T cell activation requires visualization of the spatial organization of multiple proteins on the submicron scale…”
    Get full text
    Journal Article
  10. 10

    Topographic prominence as a method for cluster identification in single-molecule localisation data by Griffié, Juliette, Boelen, Lies, Burn, Garth, Cope, Andrew P., Owen, Dylan M.

    Published in Journal of biophotonics (01-11-2015)
    “…Single‐molecule localisation based super‐resolution fluorescence imaging produces maps of the coordinates of fluorescent molecules in a region of interest…”
    Get full text
    Journal Article
  11. 11

    Dynamic Bayesian Cluster Analysis of Live‐Cell Single Molecule Localization Microscopy Datasets by Griffié, Juliette, Burn, Garth L., Williamson, David J., Peters, Ruby, Rubin‐Delanchy, Patrick, Owen, Dylan M.

    Published in Small methods (11-09-2018)
    “…Until recently, single‐molecule localization microscopy (SMLM) was constrained to the study of fixed cells, limiting analysis to the structural…”
    Get full text
    Journal Article
  12. 12

    Bayesian cluster identification in single-molecule localization microscopy data by Rubin-Delanchy, Patrick, Burn, Garth L, Griffié, Juliette, Williamson, David J, Heard, Nicholas A, Cope, Andrew P, Owen, Dylan M

    Published in Nature methods (01-11-2015)
    “…This paper reports a Bayesian approach for the automatic identification of the optimal clustering proposal in the analysis of single-molecule…”
    Get full text
    Journal Article
  13. 13

    A framework for evaluating the performance of SMLM cluster analysis algorithms by Nieves, Daniel J., Pike, Jeremy A., Levet, Florian, Williamson, David J., Baragilly, Mohammed, Oloketuyi, Sandra, de Marco, Ario, Griffié, Juliette, Sage, Daniel, Cohen, Edward A. K., Sibarita, Jean-Baptiste, Heilemann, Mike, Owen, Dylan M.

    Published in Nature methods (01-02-2023)
    “…Single-molecule localization microscopy (SMLM) generates data in the form of coordinates of localized fluorophores. Cluster analysis is an attractive route for…”
    Get full text
    Journal Article
  14. 14

    Machine learning in microscopy - insights, opportunities and challenges by Cunha, Inês, Latron, Emma, Bauer, Sebastian, Sage, Daniel, Griffié, Juliette

    Published in Journal of cell science (15-10-2024)
    “…Machine learning (ML) is transforming the field of image processing and analysis, from automation of laborious tasks to open-ended exploration of visual…”
    Get full text
    Journal Article
  15. 15

    3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse by Griffié, Juliette, Shlomovich, Leigh, Williamson, David J., Shannon, Michael, Aaron, Jesse, Khuon, Satya, L. Burn, Garth, Boelen, Lies, Peters, Ruby, Cope, Andrew P., Cohen, Edward A. K., Rubin-Delanchy, Patrick, Owen, Dylan M.

    Published in Scientific reports (22-06-2017)
    “…Single-molecule localisation microscopy (SMLM) allows the localisation of fluorophores with a precision of 10–30 nm, revealing the cell’s nanoscale…”
    Get full text
    Journal Article
  16. 16

    A Bayesian cluster analysis method for single-molecule localization microscopy data by Griffié, Juliette, Shannon, Michael, Bromley, Claire L, Boelen, Lies, Burn, Garth L, Williamson, David J, Heard, Nicholas A, Cope, Andrew P, Owen, Dylan M, Rubin-Delanchy, Patrick

    Published in Nature protocols (01-12-2016)
    “…Griffié et al . describe a protocol to perform cluster analysis of data generated from single-molecule localization microscopy. Cell function is regulated by…”
    Get full text
    Journal Article
  17. 17

    Differential nanoscale organisation of LFA-1 modulates T-cell migration by Shannon, Michael J, Pineau, Judith, Griffié, Juliette, Aaron, Jesse, Peel, Tamlyn, Williamson, David J, Zamoyska, Rose, Cope, Andrew P, Cornish, Georgina H, Owen, Dylan M

    Published in Journal of cell science (16-10-2019)
    “…Effector T-cells rely on integrins to drive adhesion and migration to facilitate their immune function. The heterodimeric transmembrane integrin LFA-1 (αLβ2…”
    Get full text
    Journal Article
  18. 18

    Quantification of fibrous spatial point patterns from single-molecule localization microscopy (SMLM) data by Peters, Ruby, Benthem Muñiz, Marta, Griffié, Juliette, Williamson, David J, Ashdown, George W, Lorenz, Christian D, Owen, Dylan M

    Published in Bioinformatics (Oxford, England) (01-06-2017)
    “…Unlike conventional microscopy which produces pixelated images, SMLM produces data in the form of a list of localization coordinates-a spatial point pattern…”
    Get full text
    Journal Article
  19. 19
  20. 20

    The Nanoscale Organization of Signaling Domains at the Plasma Membrane by Griffié, Juliette, Burn, Garth, Owen, Dylan M

    Published in Current topics in membranes (2015)
    “…In this chapter, we present an overview of the role of the nanoscale organization of signaling domains in regulating key cellular processes. In particular, we…”
    Get full text
    Book Chapter Journal Article