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Name: Pau Carrillo-Barberà
Type: User
Company: University of Edinburgh
Bio: Bioimage Analyst, Postdoctoral Researcher
Twitter: barbera_pau
Location: Edinburgh
Name: Pau Carrillo-Barberà
Type: User
Company: University of Edinburgh
Bio: Bioimage Analyst, Postdoctoral Researcher
Twitter: barbera_pau
Location: Edinburgh
This project aims to accomplish the segmentation of three axonal components (axoplasm, inner cytoplasmic tongue and myelin) on TEM images using Fiji and ilastik
Jupyter Notebooks to train a DL pixel classifier
ImageJ macros to assess both semantic and instance segmentation.
Bioimage analysis workflow for the analysis of high throughput microscpy experiments to assess cell adhesion (specifically, to quantify the binding of fluorescence-labeled cells to a cell monolayer) using Fiji
Bioimage analysis pipelines to detect cells (nucleus + cytoplasm) and generate label images with the aim of establishing an object hierarchy
Bioimage analysis workflow for the analysis of high throughput microscopy experiments to assess cell proliferation in pulse-chase experiments (BrdU or EdU) using Fiji
ImageJ macro for the detection of DHB-Venus positive cells and the quantification of its nucleus-to-cytoplasm ratio
Materials for the EMBL Deep Learning course
The ImageJ wiki
Bioimage analysis workflow for the analysis of high throughput microscpy experiments to assess neurosphere assays (or other similar assays based on spheroid growing) using Fiji and ilastik
Diverse workflows to automate some simple tasks
Example macros for linking 'related' objects between different binary masks, e.g., nucleus with its corresponding cytoplasm. Objects are indexed to establish their relations by means of the output matrix of the Region Connection Calculus plugin
This repository contains CellProfiler pipelines, ImageJ macros and other files generated during my NEUBIAS Short Term Scientific Mission at the scientific platforms for BioSciences Screening and Advanced Light Microscopy, Instituto de Investigação e Inovação da Universidade do Porto (Porto, Portugal)
Groovy scripts to run TrackMate-StarDist headless
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.