Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Non-nuclear Inheritance01:29

Non-nuclear Inheritance

23.2K
Most DNA resides in the nucleus of a cell. However, some organelles in the cell cytoplasm⁠—such as chloroplasts and mitochondria⁠—also have their own DNA. These organelles replicate their DNA independently of the nuclear DNA of the cell in which they reside. Non-nuclear inheritance describes the inheritance of genes from structures other than the nucleus.
23.2K
Nuclear Stability03:18

Nuclear Stability

23.2K
Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters.
To hold positively charged protons together...
23.2K
Nuclear Fusion02:45

Nuclear Fusion

33.8K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.8K
Graded Potential01:19

Graded Potential

7.0K
Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or...
7.0K
Nuclear Export of mRNA02:31

Nuclear Export of mRNA

8.8K
Before mRNAs are exported to the cytoplasm, it is crucial to check each mRNA for structural and functional integrity. Eukaryotic cells use several different mechanisms, collectively known as mRNA surveillance, to look for irregularities in mRNAs. Irregular or aberrant mRNA are rapidly degraded by various enzymes. If a defective mRNA escapes the surveillance, it would be translated into a protein which would either be non-functional or not function properly. One of the primary irregularities in...
8.8K
Nuclear Transmutation03:20

Nuclear Transmutation

20.7K
Nuclear transmutation is the conversion of one nuclide into another. It can occur by the radioactive decay of a nucleus, or the reaction of a nucleus with another particle. The first manmade nucleus was produced in Ernest Rutherford’s laboratory in 1919 by a transmutation reaction, the bombardment of one type of nuclei with other nuclei or with neutrons. Rutherford bombarded nitrogen-14 atoms with high-speed α particles from a natural radioactive isotope of radium and observed...
20.7K

You might also read

Related Articles

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

Sort by
Same author

Epicardial adipose tissue signatures in Asian coronary artery disease: Insights from cardiac CT.

American journal of preventive cardiology·2026
Same author

DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training.

IEEE transactions on medical imaging·2026
Same author

Can 3D T1 Post-Contrast MRI in A Radiomics-Machine Learning Model Distinguish Infective from Neoplastic Ring-Enhancing Brain Lesions? An Exploratory Study.

Diagnostics (Basel, Switzerland)·2026
Same author

Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study.

European heart journal. Digital health·2025
Same author

High clinical actionability of a pan-cancer tissue-based combined DNA and RNA next generation sequencing assay in a diverse Asian population.

NPJ precision oncology·2025
Same author

Systematic benchmarking of 13 AI methods for predicting cyclic peptide membrane permeability.

Journal of cheminformatics·2025
Same journal

Patient-Reported Symptom Burden Among Thyroid Cancer Survivors: Retrospective Cohort Study.

JCO clinical cancer informatics·2026
Same journal

Rule-Based Algorithm to Identify Recurrent Non-Hodgkin Lymphoma in Electronic Health Data.

JCO clinical cancer informatics·2026
Same journal

Bayesian Methods for Subgroup Efficacy and Safety: Application to Japanese Patients in JAVELIN Renal 101.

JCO clinical cancer informatics·2026
Same journal

Effect of a Multidimensional Digital Health Intervention on Quality of Life in Breast Cancer Survivors: A Randomized Controlled Trial.

JCO clinical cancer informatics·2026
Same journal

Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support?

JCO clinical cancer informatics·2026
Same journal

Machine Learning Algorithm for the Detection of Tumor Microsatellite Instability Based on Multiomics Biomarkers.

JCO clinical cancer informatics·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

34.2K

Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

Daniel Aitor Holdbrook1, Malay Singh1, Yukti Choudhury1

  • 1Daniel Aitor Holdbrook, Malay Singh, Emarene Mationg Kalaw, and Hwee Kuan Lee, Bioinformatics Institute; Malay Singh and Hwee Kuan Lee, National University of Singapore; Yukti Choudhury and Min-Han Tan, Lucence Diagnostics; Yukti Choudhury and Min-Han Tan, Institute of Bioengineering and Nanotechnology; Valerie Koh, Puay Hoon Tan, and John Yuen Shyi Peng, Singapore General Hospital; Hui Shan Tan, Ravindran Kanesvaran, and Min-Han Tan, National Cancer Center Singapore; and Hwee Kuan Lee, Institute for Infocomm Research, Singapore.

JCO Clinical Cancer Informatics
|January 18, 2019
PubMed
Summary
This summary is machine-generated.

An automated system objectively grades clear cell renal cell carcinoma (ccRCC) by analyzing nuclear patterns. This digital approach aids pathologists and correlates with existing prognostic scoring systems.

More Related Videos

Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression
06:29

Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression

Published on: January 31, 2025

1.2K
Direct Drug Delivery to Kidney via the Renal Artery
11:18

Direct Drug Delivery to Kidney via the Renal Artery

Published on: April 17, 2021

8.2K

Related Experiment Videos

Last Updated: Jan 30, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

34.2K
Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression
06:29

Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression

Published on: January 31, 2025

1.2K
Direct Drug Delivery to Kidney via the Renal Artery
11:18

Direct Drug Delivery to Kidney via the Renal Artery

Published on: April 17, 2021

8.2K

Area of Science:

  • Oncology
  • Digital Pathology
  • Computational Biology

Background:

  • Nuclear pleomorphic patterns are crucial for Fuhrman grading of clear cell renal cell carcinoma (ccRCC).
  • Manual assessment of histopathologic slides can be subjective and inconsistent.
  • Objective and automated assessment is needed to aid pathologists.

Purpose of the Study:

  • To develop an automated, image-based system for classifying ccRCC slides.
  • To quantify nuclear pleomorphic patterns objectively.
  • To improve consistency and interpretability in ccRCC histopathologic assessment.

Main Methods:

  • Retrospective analysis of 59 ccRCC patient histopathologic slides.
  • Development of an automated image classification pipeline using machine learning.
  • Detection and analysis of prominent nucleoli and pixel intensity-based features for nuclear analysis.

Main Results:

  • The pipeline classifies ccRCC images as low (Fuhrman grade 1-2) or high (Fuhrman grade 3-4).
  • Experimental results demonstrated classification accuracy across various configurations.
  • The pipeline's image score (fraction value) showed a significant correlation (R=0.59) with a multigene assay-based scoring system.

Conclusions:

  • The developed method offers an objective and automated approach for processing pathologic slides.
  • Quantitative interpretation of nuclear pleomorphic patterns in ccRCC is now possible.
  • The methodology can be adapted for grading other cancers based on nuclear morphology.