Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Enhanced treatment of ischemic stroke by scutellarin loaded Angiopep-2-modified milk exosomes via multiple pathological pathways regulation.

Journal of nanobiotechnology·2026

Same author

International Trends in Dental Opioid Prescriptions.

JAMA network open·2026

Same author

Discovery of actinators, actin-derived bioactive peptides that modulate cytoskeleton and actin-related cellular activities.

Science advances·2026

Same author

Initial Evaluation of Feasibility and Cutaneous Toxicity of Electron FLASH Radiotherapy Using a Standard-of-Care Fractionation Scheme in a Porcine Skin Model.

Cancers·2026

Same author

TUSCAN: Tumor segmentation and classification analysis in spatial transcriptomics.

PLoS computational biology·2026

Same author

mist: a hierarchical Bayesian framework for detecting differential DNA methylation dynamics in single-cell data.

Nature communications·2026

Search research articles

Related Experiment Video

Updated: Oct 3, 2025

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

NeuCA web server: a neural network-based cell annotation tool with web-app and GUI.

Daoyu Duan¹, Sijia He², Emina Huang³

¹Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.

Bioinformatics (Oxford, England)

|February 17, 2022

Summary

NeuCA is a new tool that uses neural networks to automatically label cell types in single-cell RNA sequencing data. This accurate annotation method maximizes data utility for researchers analyzing complex biological samples.

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

Related Experiment Videos

Last Updated: Oct 3, 2025

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

Area of Science:

Computational Biology
Bioinformatics
Genomics

Background:

Accurate cell type annotation is crucial for single-cell RNA sequencing (scRNA-seq) data analysis.
Existing methods may not fully utilize all measured cells, potentially limiting downstream analyses.
A need exists for efficient and accurate automated cell annotation tools.

Purpose of the Study:

To introduce NeuCA, a novel neural network-based web server for automated cell type annotation in scRNA-seq data.
To provide a user-friendly graphical interface for researchers to analyze and annotate their scRNA-seq datasets.
To enhance the efficiency and accuracy of scRNA-seq data analysis by maximizing cell data utilization.

Main Methods:

Development of a neural network algorithm for cell type classification.
Implementation of the algorithm within an R Shiny web application, creating the NeuCA web server.
Provision of over 20 pre-trained classifiers for common tissue types.

Main Results:

NeuCA demonstrates accurate and exhaustive cell annotation capabilities.
The web server facilitates automatic assignment of cell labels, streamlining the analysis workflow.
NeuCA maximizes the usage of measured cells for subsequent downstream analyses.

Conclusions:

NeuCA serves as a valuable, user-friendly tool for the research community to analyze and annotate scRNA-seq data.
The neural network-based approach offers improved accuracy and efficiency in cell type identification.
As the first web-app with a neural-network infrastructure for this purpose, NeuCA advances scRNA-seq data analysis.