Technology
SReD (Structural Repetition Detector) is an ImageJ and Fiji plugin for analyzing structural repetition in microscopy images. It introduces a novel approach utilising a custom sampling scheme and correlation metrics to compute Repetition Maps. These maps highlight and quantify the degree of structural repetition present within images, providing valuable insights for image analysis and structural studies.
Publications featuring SReD
|
Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques Paper published in Nature Communications, July 2025 Technologies: Nuclear-Pores as references and SReD () Funded by: CZI, EMBO, ERC, H2021 and H2022 DOI: 10.1038/s41467-025-60709-1 |
|
|
Non-synaptic exocytosis along the axon shaft and its regulation by the submembrane periodic skeleton Theresa Wiesner, Christopher Louis Parperis, Fanny Boroni-Rueda, Nicolas Jullien, Afonso Mendes, Léa Marie, Louisa Mezache, Marie-Jeanne Papandréou, Ricardo Henriques, Christophe Leterrier Preprint published in bioRxiv, January 2025 Technologies: CARE () and SReD () Funded by: EMBO and ERC |
|
Funding contributing to SReD
|
VirusAwareScopes - Machine Learning-Driven Adaptive Microscopy for Long-Term Viral Infection Studies Ricardo Henriques Alias: VirusAwareScopes Funded by: La Caixa Foundation - Health Research Duration: November 2025 - October 2028 |