December 22, 2025 — Leads & Copy —
Quantum-Si Incorporated (Nasdaq: QSI) has launched the Version 3 Library Preparation Kit and a new suite of data analysis tool enhancements. These advancements, combined with the Version 4 Sequencing Kit launched in September 2025, are expected to significantly improve the analysis of scarce biologic samples and complex mixtures, as well as the detection of low abundance biomarkers, according to the company.
The Version 3 Library Preparation Kit requires 200 ng or less of total protein input, marking a 100-fold improvement over the existing kit. Internal validation studies indicate the kit enables the detection of proteins in mixtures with as little as 1-2 ng of protein, equating to less than 1% relative abundance in a sample mixture. These capabilities are expected to enhance users’ ability to process scarce biologic samples and detect low abundance proteins in applications such as signaling pathways.
The new suite of data analysis tools unlocks the detection of an additional amino acid (methionine), further increases peptide alignment accuracy, and improves overall protein inference performance and interpretability, the company said.
Jeff Hawkins, President and Chief Executive Officer of Quantum-Si, stated that the Version 3 Library Prep Kit is the most sensitive kit the Company has released to date. He added that the ability to sequence proteins with as little as 1-2 ng of input will enable customers to explore low abundance biomarkers and biomarker panels previously inaccessible with the company’s technology. Hawkins also noted that the new data analysis tools will enhance the accuracy and robustness of the data customers are generating and expand the amino acid coverage to 15 amino acids, with the goal of demonstrating detection of all 20 amino acids in 2026.
Quantum-Si is a proteomics technology company focused on redefining protein analysis through single-molecule detection. The company’s platform enables real-time kinetic-based detection, allowing researchers to directly access dynamic, functional protein insights.
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Source: Quantum-Si Incorporated
