Prof. Dionne to Present VINPix — Nanophotonics and AI for Multiomics on a Chip

IEEE Spectrum announced a free webinar on how nanophotonics and AI can accelerate molecular sequencing and single-cell phenotyping. At the center of attention is the VINPix platform, which combines silicon photonic resonators, acoustic bioprinting, and multiomics data analysis algorithms on a single chip.

What will be shown at the webinar

The main theme of the webinar is an attempt to narrow the gap between how quickly living nature processes information and how modern computational infrastructure does it. According to the organizers, the biosphere transmits data nine orders of magnitude faster than the technosphere. The VINPix platform is designed as one of the tools that could bring technical systems closer to such density and speed of working with biological signals. This is not about distant theory, but about a quite concrete architecture of sensors suitable for mass integration.

"The biosphere transmits data nine orders of magnitude faster than the

technosphere."

At the heart of VINPix are silicon photonic resonators with high Q-factors — from thousands to millions, with subwavelength modal volumes and a density exceeding 10 million elements per square centimeter. Combined with acoustic bioprinting and AI, this should allow reading multiomics signatures — genes, proteins, and metabolites — directly on a single chip and at speeds previously inaccessible. For researchers, this is an important shift: instead of a series of separate instruments and preparation stages, there is now a chance to combine several types of molecular measurements in one compact system.

Where to expect the effect

Special emphasis is placed on practical scenarios where such sensors can be used outside the classical laboratory. One example is integration with the Monterey Bay Aquarium Research Institute's autonomous underwater robots for biochemical ocean monitoring. If this approach works, molecular measurements can be conducted closer to the point of interest: in water, in field conditions, in complex environments where the standard laboratory workflow is too slow or expensive. This is especially important for ecology, sustainable development, and early detection of biochemical changes.

Based on the webinar description, the platform covers several areas at once:

• multiomics analysis on a single chip with simultaneous detection of genes, proteins, and metabolites
• field biosensors for ocean monitoring in conjunction with autonomous robots
• peptide and glycoconjugate sequencing with identification of previously undescribed molecular species
• tumor microenvironment profiling at the level of individual cells and subcellular states

This set shows that VINPix is positioned not as a narrow academic prototype, but as a platform technology. It has both a fundamental layer — new photonic components — and an applied layer — diagnostics, environmental monitoring, work with rare molecular patterns. For the biosensor market, this is an important signal: the next leap forward may come not only from more powerful AI models, but also from a new generation of hardware that immediately produces richer data.

Why this is important for medicine

The medical part of the program looks no less ambitious. The webinar promises to cover peptide and glycoconjugate sequencing, including peptides associated with the major histocompatibility complex, as well as the use of dynamic Raman spectroscopy and computational metadynamics to identify previously unseen molecular species. If these methods can be stably combined with fast photonic reading and AI analysis, researchers will gain a tool for finding biomarkers that are currently too difficult or too time-consuming to isolate using standard methods.

No less interesting is the section on tumor microenvironment. It discusses subcellular prediction of drug resistance, macrophage polarization, and T-cell activation states. In other words, the system aims not simply to detect the presence of tumor cells, but to achieve a more subtle understanding of how the immune environment around the tumor behaves and why therapy works in some patients and not in others. For oncology, this is particularly valuable because such differences increasingly determine the choice of personalized treatment.

What this means

At the intersection of photonics, bioengineering, and AI, a new class of tools is emerging that can dramatically accelerate work with molecular data. If VINPix confirms its claimed capabilities, multiomics, field biosensors, and more precise cell profiling will become not an exotic practice for individual laboratories, but the foundation for new biomedical and ecological systems.