Related Experiment Video

Updated: Jun 30, 2026

Improved Visualization of Lung Metastases at Single Cell Resolution in Mice by Combined In-situ Perfusion of Lung Tissue and X-Gal Staining of lacZ-Tagged Tumor Cells
08:47

Improved Visualization of Lung Metastases at Single Cell Resolution in Mice by Combined In-situ Perfusion of Lung Tissue and X-Gal Staining of lacZ-Tagged Tumor Cells

Published on: August 21, 2012

17.2K

Erratum to "Artificial intelligence-based tumor segmentation in mouse models of lung adenocarcinoma" [Journal of

Alena Arlova1, Chengcheng Jin2, Abigail Wong-Rolle3

  • 1Artificial Intelligence Resource, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.

Journal of Pathology Informatics
|May 9, 2025
PubMed

Abstract:

[This corrects the article DOI: 10.1016/j.jpi.2022.100007.].

More Related Videos

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer
11:31

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Published on: May 20, 2016

10.6K
Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

6.0K

Related Experiment Videos

Last Updated: Jun 30, 2026

Improved Visualization of Lung Metastases at Single Cell Resolution in Mice by Combined In-situ Perfusion of Lung Tissue and X-Gal Staining of lacZ-Tagged Tumor Cells
08:47

Improved Visualization of Lung Metastases at Single Cell Resolution in Mice by Combined In-situ Perfusion of Lung Tissue and X-Gal Staining of lacZ-Tagged Tumor Cells

Published on: August 21, 2012

17.2K
Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer
11:31

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Published on: May 20, 2016

10.6K
Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

6.0K

Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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

Inhibitory PD-1 axis maintains high-avidity stem-like CD8+ T cells.

Nature·2025

The utility of artificial intelligence and deep learning to automate and accelerate follicle counts in human ovarian tissue†.

Biology of reproduction·2025

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Science advances·2025

Single Cell Spatial Transcriptomics Reveals Immunotherapy-Driven Bone Marrow Niche Remodeling in AML.

bioRxiv : the preprint server for biology·2025

PD-1 controls differentiation, survival, and TCR affinity evolution of stem-like CD8+ T cells.

bioRxiv : the preprint server for biology·2024

Quality of T2-weighted MRI re-acquisition versus deep learning GAN image reconstruction: A multi-reader study.

European journal of radiology·2023

Erratum regarding missing Declaration of Competing Interest statements in previously published articles.

Journal of pathology informatics·2026

Artificial intelligence for lung cancer classification in cytology specimens: A systematic review and diagnostic test accuracy meta-analysis of benign-malignant diagnosis and ADC/SCC/SCLC subtyping.

Journal of pathology informatics·2026

CurvReg: Curvature-aware registration for multi-stain alignment of liver biopsies.

Journal of pathology informatics·2026

A protocol for evaluating robustness to H&E staining variation in computational pathology models.

Journal of pathology informatics·2026

Metric discordance under MIDOG++ domain shift: a leave-one-domain-out audit of F1, emitted-detection confidence calibration, and ROI count error.

Journal of pathology informatics·2026

Multi-class semantic segmentation of oral cancer tissues on whole-slide images: A SuperPixel enhanced deep learning approach.

Journal of pathology informatics·2026
See all related articles
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
Jove
Visualize
Contact Us