Quantitative Image-Based Cell Viability (QuantICV) Assay for Microfluidic 3D Tissue Culture Applications

Area of Science:

• Biotechnology
• Cell Biology
• Microfluidics

Background:

• Microfluidic 3D tissue cultures offer advanced in vitro drug testing but face challenges in quantitative cell viability assessment due to small sample volumes.
• Conventional assays like MTS or Alamar Blue and live-dead staining methods struggle with accurate cell counting and segmentation in compact 3D models.

Purpose of the Study:

• To develop and validate a novel quantitative image-based cell viability (QuantICV) assay for microfluidic 3D tissue cultures.
• To address the limitations of existing cell viability assays in small-scale, 3D in vitro models.

Main Methods:

• Utilized a sequential nuclear staining approach with EthD-1 (necrotic cells) and DAPI (total cells).
• Employed confocal microscopy and image processing algorithms for nuclei visualization and quantification within 3D tissue volumes.
• Validated the QuantICV assay against the conventional MTS assay in 2D and 3D cultures.

Main Results:

• The QuantICV assay demonstrated good concordance with the bulk MTS assay.
• Successfully applied the QuantICV assay for on-chip determination of differential drug responses in 3D oral squamous cell carcinoma (OSCC) models.
• Quantified dose-dependent responses of parental and metastatic OSCC to Gefitinib.

Conclusions:

• The QuantICV assay provides a robust solution for quantitative cell viability measurements in microfluidic 3D cultures.
• This technique is valuable for drug testing in microfluidic systems and situations lacking conventional viability assay capabilities.
• Offers improved accuracy for evaluating drug efficacy in complex 3D cell models.