Biology Is Becoming an Information Problem
AI-driven biology, precision medicine, multi-omic analysis, antimicrobial resistance and real-time biological monitoring are creating demand for far more biological information - measured faster, across more analytes, and in more places.
But the ability to measure biology has not scaled with the ability to analyze it.
Guanine is developing a programmable biological measurement architecture designed to change that. A common electrochemical signal layer enables diverse biological information to be converted into quantitative, scalable electrical measurements - supporting nucleic acids, proteins, metabolites, cells and pathogens within a common architecture.
The objective is simple: make advanced biological measurement mobile, rapid, affordable and scalable.
Explore the architectureAdvanced Biological Measurement Requires More Information Than Legacy Systems Can Generate
Modern biology increasingly requires information across nucleic acids, proteins, metabolites, cells, microorganisms and functional biological responses. Yet today's measurement systems remain fragmented across genomics, proteomics, microbiology and specialized assays—each with different instruments, workflows and operating requirements.
As the amount and diversity of biological information increases, conventional approaches typically require more instruments, more workflows, more time and greater cost. The limitation is not biology's ability to generate information. It is our ability to measure that information efficiently.
Guanine addresses this limitation at the signal architecture level.
One Programmable Architecture Combines Capabilities That Traditionally Required Different Systems
Guanine is developing a common programmable electrochemical architecture that converts diverse biological measurements into a scalable electrical signal layer. The architecture combines three programmable capabilities:
- Signal Generation creates distinguishable electrochemical signals using patented reversible, stackable reporters.
- Signal Encoding expands the number of distinguishable measurements through programmable signal states and Composite Multiplex Encoding.
- Signal Stabilization uses Multi-Domain Waveform Control to improve measurement fidelity and support low-abundance and time-resolved biological measurement.
Together, these capabilities create a common measurement architecture that can be programmed for different analytes, assays and biological questions - rather than requiring a different measurement platform for each. One architecture can therefore support nucleic acids, proteins, metabolites, cells and pathogens while extending measurement into dynamic biological response.
Programmability changes not only what can be measured, but how biological measurement can scale.
Explore the architectureProgrammability Removes the Tradeoffs in Advanced Assays
Advanced biological measurement has traditionally required tradeoffs between multiplexing, sensitivity, time resolution, instrument complexity and cost. Guanine's architecture is designed to scale these capabilities together.
- Multiplexing: Hundreds of biological measurements can be encoded within a common architecture.
- Sensitivity: Signal amplification and stabilization are designed for low-abundance biological targets.
- Time Resolution: Repeated measurements can capture biological response as it changes over time.
- Distributed Measurement: The same architecture can extend from mobile systems to high-throughput laboratory platforms and distributed field applications.
The result is a fundamentally different target economic model: 30-100x lower capital requirements, 2-10x lower test costs and 3-60x faster results compared with representative advanced testing workflows.
Scale biological information without scaling instrument complexity.
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Programmable Multi-Analyte Architecture. A Deeper View of Biology.
Complex biological questions rarely fit within a single measurement class. Cancer, for example, can involve information across DNA, RNA, methylation, proteins, cells and metabolites - yet these measurements are typically divided among different instruments and workflows.
Guanine's programmable measurement architecture is being developed to bring these different forms of biological information onto a common platform. An OEM could configure the architecture around the biological question - combining complementary measurements for earlier detection, classification, treatment selection, treatment response or recurrence monitoring.
The goal is not another specialized oncology instrument. It is a platform that enables advanced assays to integrate more of the biology that matters.
Measure What Biology Is - and Rapidly How It Responds
Some biological decisions require more than identifying what is present. They require measuring how biology changes over time.
For sepsis, the objective is treatment-guiding functional susceptibility in approximately 90-120 minutes, complemented by broad and atypical pathogens and resistance identification in approximately 60 minutes . Guanine's architecture is being developed to support two complementary capabilities from the same underlying signal platform: culture-free functional susceptibility based on the time-resolved response to antimicrobial challenge, and rapid identification of pathogens and resistance genes.
This illustrates a broader capability of programmable biological measurement: the same architecture can measure identity, concentration and change over time - turning dynamic biological response into actionable information.
See the sepsis workflow
Build the Next Generation of Biological Measurement
Biology is generating increasingly complex questions. Answering them should not require a new measurement platform every time.
Guanine is developing a programmable architecture that enables biological information to be measured across analytes, across time and across applications - from advanced healthcare assays to industrial, environmental and biodefense measurement.
One architecture. More biological information. More applications.
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