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Enhance drug metabolism studies and safety screening with CELLBLOKS®  3D Stack Liver-on-a-chip  models

CELLBLOKS® Liver models

Drug-induced liver injury (DILI) remains the leading cause of attrition in all phases of clinical trials and the primary cause of post-market drug withdrawal. Our CELLBLOKS® liver-on-a-chip models are the only industry-compliant platforms that combine high-throughput capability with in-vivo relevance. Featuring precise 3-D structural arrangements of various cell types resembling liver structure, our models promote intercellular communication and in-vivo-like metabolic function, enabling the prediction of adverse drug effects with exceptional accuracy. With our technology, you can generate high-quality, human-relevant data in a rapid, cost-effective manner


Physiologically relevant

Constitutes key liver cell types including hepatocytes , fibroblasts and endothelial cells allowing cell-cell interactions

Liver functionality

Enhanced hepatic relevance including increased albumin, urea and Cytochrome P450 production compared to standard hepatocyte mon-cultures

Industry compliant

The platform is designed in a standard SBS plate format compatible with standard imaging and readout equipment

Open access

Direct access to liver cell layers and compounds can be directly added to the model. Each layer can be independetly removed from the model

Ready to use

Use Liver-on-a-Chip model directly after arrival for up to 14 days allowing you to perform your studies straight away

Flow enabled 

Use with or without media flow circulation
Optimised cell maintenance medium provided


Enhanced Hepatic Function on 3D Stack Liver Model

Imaging of cells through 3D stacked liver-chip layers

Cells were imaged live on day 3 in stacked layers using epi-fluorescent microscopy (10x magnification). Labling: HUVEC with Cell Tracker (Green, CMFDA), HepG2 cells with Cell Tracker (Red, CMTPX) and NIN/3T3 cells with Hoechst stain. Cells can be easy imaged through layers by standard inverted microscope

Metabolism in HepG2 hepatocytes

CYP3A4 expression levels in monoculture hepatocytes vs. tri-culture stacked set-up in CELLBLOKS®. In HepG2 heptocyes CYP3A4 activity increased 3 times compared to HepG2 monocultures.

Metabolism in human upcyte® primary hepatocytes

CYP3A4 expression levels in monoculture hepatocytes vs. tri-culture stacked set-up in CELLBLOKS®. In tri-culture model CYP3A4 in primary hepatocytes is enhanced by up to 3 times compared to monoculture hepatocytes over the 12 day of culture

Powerful Drug Induced Liver Injury (DILI) prediction capability

CELLBLOKS® 3D stack Liver-on-a-Chip model clearly distinguishes between hepatotoxic vs. their no-toxic structural analogues drugs at clinically relevant concentrations

Hepatotoxicity evaluation (24 h exposure) in CELLBLOKS®  NANOSTACK™ based 3D liver model

Hepatotoxic drug-induced toxicity in HepG2 cells can be detected at concentrations < 10 µM over human plasma Cmax levels. The model correctly differentiated the hepatotoxic effects of compounds at high DILI concern (Clozapine, Troglitazone, Trovafloxacin) as opposed to their non-toxic drug analogues (respectively Olanzapine, Pioglitazone, Levofloxacin) at clinically relevant concentrations, therefore demonstrating a robust DILI prediction capability.

Media flow enabled via gravity-driven perfusion

Dynamic media flow around and through the cell-layers enabling continues supply of nutrients and oxygen to the cells replicating liver tissue microenvironment 

Liver Models Available 

HepG2 3D Stack  Models

Perform rapid and reliable drug screening with our tri-culture chip model, composed of HepG2 cells, human endothelial HUVEC cells, and fibroblast cells grown in layered scaffold blocks. This enables high-throughput and reproducible drug screening, allowing for the rapid identification of potential drug candidates.

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 Primary Hepatocyte 3D Sack Models

Enhance your drug screening results with our primary cell-derived liver model composed of hepatocytes and NPC cells, providing a more physiologically relevant and predictive system for drug safety and efficacy assessment. Try it now and get more reliable and accurate data for your drug development

Coming soon

Frequency Bought Together