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

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

Design Example: Designing Water Slide

Design Example: Designing Water Slide

When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the slide....

Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

Tumor Progression

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

The Tumor Microenvironment

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...

Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

You might also read

Related Articles

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

Sort by

Same author

In-vivo detection of cervical cancer lesions using hyperspectral colposcopy.

Scientific reports·2026

Same author

A School-Based Nutrition and Physical Activity Intervention for the Prevention of Childhood Obesity: Study Design and Baseline Findings From a Cluster-Randomized Trial.

Journal of nutrition and metabolism·2026

Same author

High-to-Low Spectral Mapping for Cross-System Feature Adaptation in Medical Hyperspectral Imaging.

Bioengineering (Basel, Switzerland)·2026

Same author

Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial.

JMIR research protocols·2026

Same author

Design and Characterization of a Hyperspectral Colposcope Based on Dual-LCTF VNIR Narrow-Band Illumination.

Sensors (Basel, Switzerland)·2026

Same author

STRATUM-OS: first step in the development and validation of the STRATUM tool based on multimodal data processing to assist surgery in patients affected by intra-axial brain tumours - observational study protocol.

BMJ open·2026

Search research articles

Related Experiment Video

Updated: Feb 13, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Published on: April 14, 2020

Detecting brain tumor in pathological slides using hyperspectral imaging.

Samuel Ortega¹, Himar Fabelo¹, Rafael Camacho²

¹Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain.

Biomedical Optics Express

|March 20, 2018

Summary

Hyperspectral imaging (HSI) shows promise for automatically detecting high-grade glioma brain tumors in pathology slides. This technique analyzes spectral data to differentiate between normal and cancerous tissues, aiding in diagnosis.

Keywords:

(110.4234) Multispectral and hyperspectral imaging (170.0170) Medical optics and biotechnology (170.4730) Optical pathology (170.6510) Spectroscopy, tissue diagnostics (170.6935) Tissue characterization

More Related Videos

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Related Experiment Videos

Last Updated: Feb 13, 2026

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

Published on: April 14, 2020

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Medical technology
Oncology
Pathology

Background:

Hyperspectral imaging (HSI) is an emerging technology with potential applications in medical diagnosis.
Accurate detection of brain tumors in pathological slides is crucial for effective treatment planning.

Purpose of the Study:

To present a proof-of-concept for using HSI data to automatically detect human brain tumor tissue.
To evaluate the efficacy of HSI in distinguishing high-grade glioma from normal brain tissue in pathological samples.

Main Methods:

Hyperspectral data cubes were collected from 400 nm to 1000 nm for ten high-grade glioma patients.
A spectral library of normal and tumor tissues was created based on pathologist diagnoses.
Three supervised classification algorithms were employed to process the HSI data.

Main Results:

The study demonstrated that HSI data can be used to differentiate between normal and high-grade glioma tissues.
Supervised classification algorithms successfully processed the spectral information.
HSI proved to be a suitable technique for automated tumor detection.

Conclusions:

Hyperspectral imaging is a viable technology for the automated detection of high-grade brain tumors in pathological slides.
This approach can potentially enhance diagnostic accuracy and efficiency in neuropathology.