Atrandi Biosciences Showcases Single-Cell Multiomics Technology at SLAS 2026

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BOSTON, Mass. — Atrandi Biosciences said it will present new scientific data and platform innovations at the Society for Laboratory Automation and Screening (SLAS2026) International Conference and Exhibition, scheduled for Feb. 7–11, 2026, in Boston, as the company advances its single-cell direct multiomics technology.

The life sciences tools company plans to highlight its patented Semi-Permeable Capsule (SPC) technology, which it describes as addressing long-standing limitations in single-cell workflows. Designed to support true multi-step processing at scale, SPCs combine elements of well-based assays with the throughput of droplet microfluidics, enabling bulk-like reactions at single-cell resolution while maintaining compartmentalization and cell identity.

According to the company, the technology allows researchers to exchange reagents, stage sequential reactions, and carry out complex workflows without losing single-cell fidelity. SPCs are designed to integrate across a range of cell types and experimental designs, expanding the scope of single-cell multiomics applications.

“Atrandi SPCs turn single-cell analysis into a true multi-step workflow,” said Emilis Gegevičius at Atrandi Biosciences. “You can exchange reagents, stage sequential reactions, and keep each cell’s identity intact, so studies like CRISPR perturbation screens including Perturb-seq, rare clone tracking in cancer, and complex microbial single-cell genomics don’t collapse under workflow fragility. In practice, SPCs redefine sample handling in single-cell omics: not a bottleneck, but an enabling layer for experiments that need multiple steps at scale.”

In addition to presenting scientific data, Atrandi said its Phyx platform, described as a universal system for selective sample enrichment, has been named a finalist for the SLAS2026 New Product Award.

The company said its presence at SLAS2026 will focus on demonstrating how SPC technology supports more robust, flexible, and scalable single-cell workflows for applications across genomics, oncology, and microbial research.

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