New Platform Advances Flexible Spatial Biology Workflows

Leica Microsystems, announced that its Launch Early Access Program (LEAP) is now available, offering supported early access to ATTOAuriga, a novel spatial biology reagent platform in its pre-launch phase. LEAP helps labs evaluate workflows with real samples early on, without committing to fixed assay designs

Spatial biology is advancing quickly, yet many labs still face complex workflows and limited flexibility. LEAP provides a structured pathway, with application and workflow support. This helps researchers generate and evaluate data with confidence. ATTOAuriga is a modular reagent ecosystem. It is built on bright ATTO dye chemistry and a barcode-based architecture for scalable multiplexing. It brings together pre-validated panels, antibody conjugation kits, and supporting reagents in a single workflow designed for reproducibility, sensitivity, and flexibility as research needs evolve.

“Researchers want to adopt spatial biology at their own pace, starting with data generation they can rely on and scaling as their questions evolve,” said James O’Brien, Vice President Life Sciences & Applied Solutions, Leica Microsystems. “With LEAP and ATTOAuriga, scientists can access preliminary spatial data from their own samples and evaluate workflows without being tightly constrained into fixed assay designs or rigid workflows.”

Researchers can start with ready-to-use core panels to reduce setup time and support consistent, reproducible results. The same workflow supports panel expansion and customization as studies evolve without full revalidation. With supported early access to the flexible ATTOAuriga reagent platform, LEAP is designed to enable proof-of-concept studies, and generate data that may support grant applications, and inform adoption decisions. Within LEAP, the AI enabled image analysis software Aivia supports an end-to-end workflow, from multiplex image acquisition through quantitative, reportable outputs to support downstream decision-making.

ATTOAuriga and the Launch Early Access Program (LEAP) were presented at the AACR 2026 Annual Conference, offering visitors a closer look at how scalable multiplex spatial biology workflows can be evaluated and expanded. Beyond the event, LEAP is intended to support broader access to these workflows, enabling researchers to evaluate them with their own samples at an early stage

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