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Related Experiment Video

Updated: Feb 17, 2026

Clinical Microfluidic Chip Platform for the Isolation of Versatile Circulating Tumor Cells

Clinical Microfluidic Chip Platform for the Isolation of Versatile Circulating Tumor Cells

Published on: October 13, 2023

Precisely Enumerating Circulating Tumor Cells Utilizing a Multi-Functional Microfluidic Chip and Unique Image

Mingxing Zhou^1,2, Hui Zheng¹, Zhaoba Wang²

¹CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.

|December 1, 2017

Summary

This summary is machine-generated.

Automated circulating tumor cell (CTC) enumeration using a novel microfluidic platform significantly improves accuracy and reduces processing time by 50% compared to manual methods. This technology offers a robust, hands-free solution for cancer diagnostics.

Keywords:

automated cell enumeration.breast cancer circulating tumor cells microfluidic chip

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Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

Area of Science:

Biomedical Engineering
Oncology
Medical Diagnostics

Background:

Circulating tumor cell (CTC) enumeration is vital in cancer treatment.
Current manual CTC identification is time-consuming and subjective.
Existing isolation methods require manual interpretation of immunofluorescence images.

Purpose of the Study:

To design, test, and verify an automated microfluidic platform for accurate CTC enumeration.
To develop a unique image processing algorithm for objective CTC identification.
To reduce subjectivity and time associated with manual CTC analysis.

Main Methods:

Development of a multi-functional microfluidic chip for blood filtering, cell isolation, and single-cell positioning.
Integration of a unique image processing algorithm for automated cell counting.
Verification of the platform using clinical blood samples from breast cancer patients.

Main Results:

The integrated microfluidic chip and algorithm demonstrated efficient cell isolation and minimal loss.
Automated CTC enumeration showed improved accuracy compared to manual methods.
The platform reduced the time from sample loading to result review by 50%.

Conclusions:

The automated CTC enumeration platform provides a robust, accurate, and hands-free solution.
This technology integrates a microfluidic chip with an image processing algorithm for reliable results.
The platform has potential as a novel in vitro diagnostic device for clinical use.