PRODUK
- Rumah
- PRODUK
- Diagnostik In Vitro
- CTCs Enrichment System
- Onco Flux CTCs Enrichment System
CTCs Enrichment System
Onco Flux CTCs Enrichment System
- Fitur
- Fast Automated Workflow
- Efficient Sample Requirement
- Superior Capture Rate
- Ready-to-Stain Format
- Comprehensive Molecular Characterization
Keterangan
BeneCheck® OncoFlux is a CTCs Enrichment System specifically designed for precision oncology. It aims to bridge the gap between in-time clinical decision-making and molecular characterization, providing medical professionals with a more accurate tool for cancer monitoring. The system features an automated workflow that requires only a 2 ml blood sample to achieve a capture rate of over 90% within just 2 hours. Its unique "Ready-to-Stain" format allows captured cells to be analyzed directly without the need for cell transfer, ensuring sample integrity. OncoFlux is applicable to various cancers, including liver, lung, and breast cancer. Beyond enumeration, it supports multidimensional analyses such as ICC/IF, FISH, and NGS, which are utilized for prognosis analysis, real-time treatment response monitoring, and drug resistance mutation analysis.OncoFlux
Superior Performance: Fast, Efficient, Precise
● FAST:
2 hrs. Automated Process Time.
● EFFICIENT:
Requires only 2 ml Blood Sample.
● PRECISE:
Over 90% Cell Capture Rate.
OncoFlux is dedicated to providing efficient and precise Circulating Tumor Cells (CTCs) enrichment solutions. Utilizing a Ready-to-Stain format, it enables direct analysis without cell transfer, significantly reducing the risk of sample loss and helping medical professionals accurately monitor cancer dynamics.
From Sample to Insights
Integrated automated workflow: Collection, CTC Capture, Analysis, and Professional Report.
Clinical Values & Analysis
Applicable Cancer Types:
Liver, Colorectal, Lung, Prostate, Breast, and Nasopharyngeal Carcinoma.
Multidimensional Analysis (Beyond Enumeration):
Supports ICC/IF, FISH, and NGS technologies:
• Prognosis and Post-operation monitoring
• Real-time treatment response monitoring
• Single-cell omics and Drug resistance mutation analysis
