Thanks, Sujal. I'll now provide an update on our technology and product progress, including what we're learning from our development work and the external validation we're seeing through collaborations. Overall, Q4 was a strong quarter of execution for our product and scientific teams. We continue to see growing validation of the Nautilus platform through both internal development and external partnerships. Importantly, we are increasingly moving beyond demonstrating that the technology works and towards applying it to obtain remarkable biological insights, not possible with existing proteomics approaches. This shift from capability to meaningful application is an important marker of platform maturity and a central focus for the team. Collaborations continue to play a critical role in validating the platform and demonstrating real-world relevance. During the quarter, we completed work with the Buck Institute for Research on Aging, culminating in the presentation of novel tau biology at World HUPO and most recently at US HUPO, and we are now supporting our partners as they prepare their findings for publication. In parallel, through our collaboration with the Allen Institute for Brain Science, we analyzed human brain samples spanning multiple brain regions, genetic backgrounds and disease severities. We believe this work represents the most comprehensive and quantitative Tau proteoforms landscape study to date. Notably, we are observing clear differences in Tau proteoforms patterns across disease severity and brain regions, signals that are not detectable using conventional proteomics approaches and that may help explain variability in disease progression and clinical outcomes. We also anticipate that such insights may be essential for developing the next generation of therapies for neurodegenerative diseases. Stepping back, what stands out is that the data emerging from these collaborations is not only technically robust, but biologically compelling. With each additional study, we gained confidence that Iterative Mapping is enabling access to important biology that has remained out of reach for existing technologies. We believe this new class of proteoform level data has the potential to drive real-world impact by deepening our understanding of disease mechanisms, revealing new therapeutic targets and enabling the development of more precise biomarkers for diagnosis, patient stratification and treatment monitoring. Ultimately, our goal is to demonstrate to the broader scientific community that this represents a transformative foundation of information, one that can help accelerate drug discovery workflows and improve the probability of success in developing new therapeutics. From a platform development perspective, we made meaningful progress across both our broadscale assay and our proteoform assay portfolio, while also gaining greater clarity on the remaining work required to reach our next milestones. Starting with the broadscale assay, we continued advancing our assay, including advancing the assay configuration change we have discussed previously and are now routinely employing our new configuration. During the quarter, we achieved several encouraging milestones, including performing our largest scale experiments to date, which demonstrated Iterative Mapping-based decoding of proteins from increasingly complex mixtures, including cell lysates. In addition, we made good progress on hardening the fabrication process for our new flow cell configuration, and showing assay performance characteristics such as increased on-target binding that give us indications our new assay configuration will enable an expanded affinity reagent library. The work completed in Q4 helped validate key elements of the new configuration and clarify the primary levers needed to drive further performance improvements as we scale towards complex biological samples. Progress on Proteoform assays remains strong. The Tau Proteoform assay continues to track as our first early access offering, and we remain on schedule to begin processing samples through the Early Access Program by the end of Q1. Verification and validation activities are largely complete, and the assay is meeting our requirements for accuracy, dynamic range, reproducibility and stability, marking an important step as we transition tau from development into a high-quality commercial-ready product. In parallel, we formally initiated our proteoform expansion pipeline. As Sujal mentioned, we launched an 18-month collaboration funded by The Michael J. Fox Foundation to develop an alpha-synuclein proteoform quantification assay, extending the platform into Parkinson's disease. This program includes development of a pilot assay focused on key post-translational modifications, optimization of enrichment and sample preparation workflows and application of the technology to human brain and biofluid samples. We view this collaboration as an important opportunity to further demonstrate the breadth of Iterative Mapping beyond tau and to expand our proteoform capabilities into additional high-value disease targets. While much of our current momentum is in neurodegeneration, it's important to emphasize that Iterative Mapping is not limited to neuroscience. We see meaningful long-term potential across oncology, immunology, cardiology and beyond. We are currently evaluating multiple oncology-focused candidate proteins with the goal of having an oncology-focused proteoform assay enter early access in the second half of 2026. We believe oncology represents a compelling next market opportunity, providing access to a broader customer base while also aligning well with the capabilities of our platform to deliver proteoform level resolution and highly reproducible measurement in complex biological systems. Overall, Q4 represented a strong quarter of technical execution as we continued advancing our Voyager instrument and end-to-end platform. We made meaningful progress on the broadscale assay configuration change and began generating initial data from the new approach while also advancing our proteoform portfolio with tau on track for early access sample processing by the end of this quarter. At the same time, the growing body of externally generated data from collaborators like the Buck Institute and the Allen Institute continues to validate both the robustness of our measurements and the unique biological insight enabled by Iterative Mapping. Taken together, these developments reflect continued platform maturation and reinforce our confidence in the technical foundation required to scale our assays, broaden our target portfolio and support future commercial deployment. With that, I'll turn the call over to Anna to review our financials.