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

You might also read

Related Articles

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

Sort by
Same author

Hydrogel-based multiplexed high-risk human papillomavirus DNA/RNA detection for cervical cancer screening.

Biosensors & bioelectronics: X·2026
Same author

SpyGlass Direct Visualization System: A Cost-Effective Approach Enhancing Nutritional and Immune Recovery in Difficult Bile Duct Stone Management.

Yonsei medical journal·2026
Same author

Molecular Analysis of Single Tumor-Derived Extracellular Vesicles with Improved Robustness and Accuracy.

Analytical chemistry·2026
Same author

Immune-remodeling mRNAs expressing IRF8 or NIK generate durable antitumor immunity in multiple cancer models.

Nature biotechnology·2026
Same author

Spatially Controlled Capture and Site-Resolved Analysis of Single Extracellular Vesicles.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Erasable FAP Targeted Spray-On Probe for Fluorescence-Guided Surgery.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Jan 8, 2026

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
09:49

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization

Published on: December 2, 2013

10.7K

Integrated Multi-Channel Automatic Cellular Profiling (iMAP) System for Cholangiocarcinoma Diagnosis.

Moonhyun Choi1,2, Mi Ho Jeong1, Taehwang Son1

  • 1Center for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.

Small (Weinheim an Der Bergstrasse, Germany)
|December 15, 2025
PubMed
Summary

A new automated system, integrated multi-channel automatic cellular profiling (iMAP), enhances cholangiocarcinoma (CCA) diagnosis. This rapid, microfluidic-based technology improves diagnostic accuracy for this lethal bile duct cancer.

Keywords:
automated systembiomarkersbrush cytologycancercholangiocarcinomadiagnosis

More Related Videos

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

14.3K
Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
08:25

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

666

Related Experiment Videos

Last Updated: Jan 8, 2026

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
09:49

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization

Published on: December 2, 2013

10.7K
Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

14.3K
Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
08:25

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

666

Area of Science:

  • Oncology
  • Biotechnology
  • Medical Diagnostics

Background:

  • Cholangiocarcinoma (CCA) is a deadly bile duct cancer with poor prognosis.
  • Current diagnostic methods for CCA face challenges like late detection and low accuracy due to paucicellular specimens.
  • There is a critical need for improved screening and diagnostic tools for CCA.

Purpose of the Study:

  • To develop and validate an automated system for robust analysis of biliary specimens for CCA detection.
  • To enhance the diagnostic accuracy and efficiency of CCA identification from endoscopic samples.

Main Methods:

  • An integrated multi-channel automatic cellular profiling (iMAP) system was developed using microfluidic technology.
  • The iMAP system automates cell enrichment, immunostaining, and molecular analysis of biliary brushing cytology samples.
  • The process from sample loading to diagnosis is completed within 30 minutes.

Main Results:

  • The iMAP system demonstrated good clinical diagnostic accuracy (AUC = 0.85) for CCA in a pilot study of 56 patient samples.
  • A four-marker combination (MUC1, EpCAM, EGFR, MARS1) showed effectiveness in identifying CCA.
  • The system successfully enriched epithelial cells while removing blood and fibrotic cells.

Conclusions:

  • The automated iMAP system offers a rapid and accurate method for CCA diagnosis.
  • iMAP can complement existing cytopathology workflows, reducing sample loss and improving diagnostic outcomes.
  • This technology holds promise for earlier and more accurate detection of cholangiocarcinoma.