Immunofluorescence Imaging for Rare Cell Detection

Circulating Tumor Cell (CTC) Enumeration in Cancer Research

CTC enumeration was demonstrated to be prognostic of outcome nearly two decades ago³. Advances in CTC technology now allow interrogation of cancer phenotypes and likelihood they might be responsive to therapeutics.

• Since CTCs contain intact whole cancer genomes, isolating viable CTCs detected during therapy facilitates study of mutational profiles of resistance
• Identification, characterization and molecular analysis of CTCs will advance the capacity of liquid biopsy to meet the needs of twenty-first century medicine
• Circulating tumor cell enumeration enables more effective prognostic testing and ctc count assesses earlier therapeutic responses of advanced disease
• Testing for circulating tumor DNA (ctDNA) examines a patient’s blood to detect DNA fragments from cancer cells enabling the identification of minimal residual disease through testing.

CyteFinder® II Instruments are high-speed, whole slide imaging systems with options for multiplexed liquid biopsy and tissue spatial analysis. IF, H&E, and IHC modes for imaging blood smears, tissue sections, and cytology preparation including fine needle aspirates.

Integrated machine learning algorithm detects and rank orders candidate cells for user review. Tissue option for digital pathology on the CyteFinder II Instrument. CytePicker® Retrieval Module enables single cell or tissue micro-region retrieval from any location on the slide.

Case Study

Accurate CTC detection is critical in the recovery of useful, quantitative data from patient blood. A research article published in Frontiers in Oncology describes the AccuCyte process for CTC isolation and CyteFinder II’s immunofluorescence staining and imaging, together providing a reliable and accurate workflow at > 95% when compared to recovery rates using density or lysis-based processes.

Read more from this study ➝

Accurate isolation and detection of circulating tumor cells using enrichment-free multiparametric high resolution imaging
Yeo D, Kao S, Gupta R, et al.
University of Sydney, Sydney, Australia