Velasco R, Pérez-Gallardo C, Segovia-Miranda F, & Morales-Navarrete H. (2025). An Open-source Protocol for Deep Learning-based Segmentation of Tubular Structures in 3 D Fluorescence Microscopy Images. Journal of Visualized Experiments : Jo VE, (225). https://doi.org/10.3791/68004
ISO-690 (author-date, English)VELASCO R, PÉREZ-GALLARDO C, SEGOVIA-MIRANDA F und MORALES-NAVARRETE H, 2025. An Open-source Protocol for Deep Learning-based Segmentation of Tubular Structures in 3 D Fluorescence Microscopy Images. Journal of visualized experiments : Jo VE. 14 November 2025. No. 225, . DOI 10.3791/68004.
Modern Language Association 9th editionVelasco R, Pérez-Gallardo C, Segovia-Miranda F, und Morales-Navarrete H. „An Open-Source Protocol for Deep Learning-Based Segmentation of Tubular Structures in 3 D Fluorescence Microscopy Images.“. Journal of Visualized Experiments : Jo VE, Nr. 225, November 2025, https://doi.org/10.3791/68004.
Mohr Siebeck - Recht (Deutsch - Österreich)Velasco R/Pérez-Gallardo C/Segovia-Miranda F/Morales-Navarrete H: An Open-source Protocol for Deep Learning-based Segmentation of Tubular Structures in 3 D Fluorescence Microscopy Images., Journal of visualized experiments : Jo VE 2025,
Emerald - HarvardVelasco R, Pérez-Gallardo C, Segovia-Miranda F und Morales-Navarrete H. (2025), „An Open-source Protocol for Deep Learning-based Segmentation of Tubular Structures in 3 D Fluorescence Microscopy Images.“, Journal of Visualized Experiments : Jo VE, No. 225, verfügbar unter:https://doi.org/10.3791/68004.