Voxlbio provides a spatial genomics platform that combines next‑generation sequencing with high‑resolution tissue imaging to produce quantitative, subcellular maps of gene expression across whole tissue sections. The end‑to‑end workflow includes sample preparation, library construction, automated data processing, and a cloud‑based analysis suite that integrates histology, cell‑type deconvolution, and spatial clustering, enabling researchers to study cellular interactions and disease mechanisms without extensive custom engineering.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers studying tissue biology often lack tools that can simultaneously capture high-resolution gene expression and preserve spatial context, making it difficult to understand cellular interactions and disease mechanisms within intact samples.
Solution
Voxlbio offers a spatial genomics platform that combines next‑generation sequencing with precise tissue imaging to generate quantitative maps of gene expression across whole tissue sections. The workflow integrates sample preparation, library construction, and automated data processing, delivering spatially resolved transcriptomic datasets that can be visualized and analyzed through an intuitive web interface. By aligning molecular data with histological features, the platform enables scientists to identify cell‑type neighborhoods, track disease‑related expression patterns, and generate hypotheses for functional validation without requiring extensive custom engineering.
Target Audience
Primary customers are academic laboratories, pharmaceutical R&D groups, and biotech companies that require spatially resolved gene expression data to support disease research, target discovery, and biomarker development.
Features
- High‑throughput spatial transcriptomics assay compatible with fresh‑frozen and FFPE tissue
- Subcellular resolution mapping using barcoded capture probes and optical barcoding
- Integrated imaging pipeline that registers sequencing data to histology slides
- Cloud‑based analysis suite with cell‑type deconvolution, spatial clustering, and differential expression tools
- API for exporting results to common bioinformatics environments (R, Python, Bioconductor)
- Scalable workflow automation reducing hands‑on time and batch‑to‑batch variability