End-to-End Single-Cell Identification for Organoid Research
Scalable, standardized phenotyping from sample to structured result.
Antibody panels miss rare or unexpected cell types
Bulk RNA-seq averages away cellular heterogeneity
Organoids harbor unknown complexity. Without cell-level resolution, interpretation is guesswork
Uncertain identity stalls programs and drives costly in‑vivo validation
What’s needed: automated, RNA‑based, scalable cell typing
Long‑read single‑cell RNA‑seq captures full‑length transcripts—cell typing, isoform‑level expression,
and exome‑wide variants in one assay.
Results land in a searchable database—no scripting or formatting required.
Ship cells; receive verified identity
Single-cell analysis reveals composition, variation, and functional identity
Uncovers cell types, tracks lineage, and reveals isoform diversity
Verifies purity before downstream assays or implantation
High‑resolution insight accelerates decisions
Reproducible analysis across batches; compare organoid lots over time
Single-cell resolution without single-cell headaches
One platform, many answers—cell identity, variants, splicing, lineage
Cost‑efficient: replaces antibody panels and reduces in‑vivo testing
educes delays from inconclusive or incomplete cell identification
Designed for iterative workflows across iPSC, organoid, and disease modeling programs
