A New Era for Spatial Biology

We're developing a scalable spatial multiomics technology for breakthroughs in precision diagnostics and personalized medicine.

High Quality In Situ Multiomics

Delivering transcriptomics, proteomics and fH&E all in the same FFPE tissue section at subcellular resolution

G4X Spatial Multiomic Results on Head and Neck Cancer FFPE Samples
Multiomic Single-Cell Results from Head and Neck Cancer Sample Cohort on G4X
Courtesy of Dr. Shanye Yin, Assistant Professor in the Department of Pathology at Albert Einstein College of Medicine

Spatial at Scale

With unprecedented throughput, our G4X™ Spatial Sequencing Platform allows rapid, cost-effective processing of large retrospective clinical sample cohorts for AI-enabled translational insights.

Unlocking 3D Biological Insights

We're powering large-scale 3D molecular studies through reproducible, scalable multiomic performance in clinical sample types.

See the Latest Data
Single cells colored by phenotype in ROI of 3D reconstruction of 10 kidney cancer FFPE sections and 6.2 million cells from a single G4X flow cell.

Introducing G4X™ Spatial Sequencer

A novel high-throughput spatial multiomics platform built to power the translational breakthroughs of tomorrow.

Driving Precision Medicine Forward, Together

"As the first early access site, we’ve had the chance to appreciate the impact of the very high throughput of the G4X, along with its ability to generate high-quality data across multiple sample types, right from the start. The system’s higher throughput is squarely aligned with current needs of the spatial biology field, where increased sample volumes and lower turnaround-times can enable larger studies, adoption into translational or clinical trial settings, as well as higher return-of-investment and reduced costs for researchers and core facilities”.
Dr. Ioannis Vlachos
Director of the Spatial Technologies Unit at Beth Israel Deaconess Medical Center and Associate Professor of Pathology at Harvard Medical School
"We’re excited to have the G4X in our lab, and the data we’ve seen so far is promising for our work with the Human Tumor Atlas Network. The reproducibility, speed, and cost-efficiency allow us to scale 3D spatial analyses in larger retrospective clinical cohorts. Integrating the high-throughput spatial multimodal analysis of samples on G4X with AI can provide us critical insights into disease mechanisms and therapeutic biomarkers, ultimately advancing patient care.”
Dr. Tae Hyun Hwang
Founding Director of the Molecular Artificial Intelligence Initiatives at Vanderbilt University Medical Center
“The high sample throughput and the excellent data quality that has been generated on the G4X with our bone marrow samples—notoriously a very difficult tissue type—have been impressive and have allowed us to envision much larger studies that have not been previously possible. The scale provided by the G4X promises to have a tremendous impact on expanding our understanding of the tumor microenvironment in acute myelogenous leukemia (AML) and beyond.”
Dr. Catherine Wu
Chief, Stem Cell Transplantation & Cellular Therapies, Harvard Medical School.
"The G4X data we received back from Singular on our head and neck cancer sample cohort was highly informative. Integrating transcript, protein, and fH&E data allowed us to identify cell populations and complex tumor-immune interactions with single-cell precision. Additionally, the system's robustness is confirmed as the results are fully validated by other multi-plex imaging platforms."
Dr. Shanye Yin
Assistant Professor in the Department of Pathology at Albert Einstein College of Medicine and Director of the Pathology Single-Cell core Laboratory