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Showing 1–6 of 6 results

Advanced filters: Author: Johannes Paetzold Clear advanced filters

Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning

An integrated experimental and deep learning pipeline reveals cell-level targeting of nanocarriers in whole bodies.

Jie Luo
Muge Molbay
Ali Erturk
ResearchOpen Access14 Jan 2025
Nature Biotechnology

P: 1-14
Virtual reality-empowered deep-learning analysis of brain cells

Generating training data for training deep-learning-based tools is time consuming. The DELiVR pipeline facilitates this process as demonstrated in this study on detecting c-Fos⁺ cells or microglia in the brain, following tissue clearing and imaging with light-sheet microscopy.

Doris Kaltenecker
Rami Al-Maskari
Ali Ertürk
ResearchOpen Access22 Apr 2024
Nature Methods

Volume: 21, P: 1306-1315
Machine learning analysis of whole mouse brain vasculature

VesSAP is a tissue clearing- and deep learning-based pipeline for comprehensively analyzing mouse vasculature, from large vessels to small capillaries.

Mihail Ivilinov Todorov
Johannes Christian Paetzold
Ali Ertürk
Research11 Mar 2020
Nature Methods

Volume: 17, P: 442-449
Whole-body cellular mapping in mouse using standard IgG antibodies

Whole mice are immunolabeled with standard antibodies using wildDISCO.

Hongcheng Mai
Jie Luo
Ali Ertürk
ResearchOpen Access10 Jul 2023
Nature Biotechnology

Volume: 42, P: 617-627
Retinal vasculature of different diameters and plexuses exhibit distinct vulnerability in varying severity of diabetic retinopathy

Alaa E. Fayed
Martin J. Menten
Sobha Sivaprasad
Research21 Mar 2024
Eye

Volume: 38, P: 1762-1769
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

Kelly Payette
Priscille de Dumast
Andras Jakab
ResearchOpen Access06 Jul 2021
Scientific Data

Volume: 8, P: 1-14