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

<i>In Vivo</i> Metabolic Engineering of Bladder Cancer-Derived Extracellular Vesicles for Noninvasive Cancer Detection.

Journal of the American Chemical Society·2026
Same author

Hydrogel RT-LAMP Enables Rapid, Quantitative Assessment of <i>Mycobacterium tuberculosis</i> Immune Responses.

Analytical chemistry·2026
Same author

Repurposing a Nonessential Amino Acid γ-Aminobutyric Acid To Treat Multidrug-Resistant Bacteria.

ACS applied materials & interfaces·2026
Same author

Catalase-Driven Microflow Displacement for Rapid, Visual Antimicrobial Susceptibility Testing.

Analytical chemistry·2025
Same author

Self-Transformation of 2D SnSe Nanosheets into SnO<sub>2</sub>/Se Nanocomposites for Efficient Photodetection.

ACS applied materials & interfaces·2025
Same author

Advances in colorimetric biosensors of exosomes: novel approaches based on natural enzymes and nanozymes.

Nanoscale·2023

Related Experiment Video

Updated: Jun 28, 2025

Adaptation of Semiautomated Circulating Tumor Cell CTC Assays for Clinical and Preclinical Research Applications
14:14

Adaptation of Semiautomated Circulating Tumor Cell CTC Assays for Clinical and Preclinical Research Applications

Published on: February 28, 2014

15.9K

Digital Circulating Tumor Cells Quantification.

Jidong Wang1, Xiaolei Liu2, Jiang Li3

  • 1Medical Research Center, Huazhong University of Science and Technology Union Shenzhen Hospital, the Sixth Affiliated Hospital, Shenzhen University Medical School, Shenzhen University, Shenzhen 518052, People's Republic of China.

Analytical Chemistry
|April 25, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a digital assay for quantifying rare circulating tumor cells (CTCs) in blood without enrichment. The method achieves high sensitivity, aiding cancer management.

More Related Videos

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence
10:29

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence

Published on: August 14, 2019

10.6K
Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment
05:17

Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment

Published on: May 14, 2019

8.6K

Related Experiment Videos

Last Updated: Jun 28, 2025

Adaptation of Semiautomated Circulating Tumor Cell CTC Assays for Clinical and Preclinical Research Applications
14:14

Adaptation of Semiautomated Circulating Tumor Cell CTC Assays for Clinical and Preclinical Research Applications

Published on: February 28, 2014

15.9K
Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence
10:29

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence

Published on: August 14, 2019

10.6K
Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment
05:17

Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment

Published on: May 14, 2019

8.6K

Area of Science:

  • Biomarkers
  • Microfluidics
  • Cancer Diagnostics

Background:

  • Circulating tumor cells (CTCs) are crucial biomarkers in cancer management.
  • Accurate quantification of rare CTCs presents a significant challenge.

Purpose of the Study:

  • To develop a digital strategy for direct CTC quantification using partitioning.
  • To establish a sensitive and specific method for CTC detection in blood.

Main Methods:

  • Utilized droplet microfluidics to generate numerous parallel reactors.
  • Applied Poisson distribution for direct CTC quantification without enrichment.
  • Developed a digital CTC detection assay with a limit of detection of 5 cells/5 mL whole blood.

Main Results:

  • Achieved direct quantification of CTCs in blood.
  • Demonstrated high sensitivity and specificity in detecting CTCs from NSCLC patients (AUC = 1).
  • Simultaneously detected multiple genetic mutations for enhanced accuracy.

Conclusions:

  • The digital CTC quantification platform offers a novel approach for cancer biomarker analysis.
  • This method has the potential to advance cancer medical management through precise CTC enumeration.