Optogenetic Biosensing Interface for Real-Time Molecular Communication
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Solution Overview
Problem
Existing molecular communication (MC) networks built entirely of biological components suffer from processing delays, computational limitations, and require offline processing, which is time-consuming, expensive, and prone to errors.
Innovation Solution
A hybrid bio-electronic framework that utilizes biological components for sensing and offloads processing and computation to traditional electronic systems using optogenetics and electronics, integrating biosensors with an external light stimulus to control cellular processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If molecular communication networks are built entirely of biological components, then the system can operate in environments where EM-based communication is inefficient or impossible, but the system suffers from processing delays, computational limitations, and requires time-consuming offline processing
Solution Approach 1:
The system is divided into distinct functional modules: biological sensing components (microbes with biosensors) that operate in the target environment, and electronic processing components that handle computation externally. This segmentation allows each component to operate in its optimal domain while overcoming the limitations of purely biological systems.
Solution Approach 2:
An intermediary interface is introduced between the biological sensing components and electronic processing systems. This interface enables real-time data transmission from biological sensors to electronic processors, eliminating the need for offline processing while maintaining environmental adaptability of the biological components.
2Ease of operation
If molecular communication networks use purely biological components, then the system can naturally sense and communicate using molecules, but the system requires offline processing which is time-consuming, expensive, and prone to errors
Solution Approach 1:
The patent replaces the mechanical/offline processing approach with an electronic real-time processing system. Electronic processors substitute for traditional offline biochemical analysis, providing continuous real-time monitoring without the delays and errors associated with batch processing.
Solution Approach 2:
The system implements continuous real-time sensing and processing operations. Biological sensors continuously monitor molecular concentrations in the environment, and electronic processors continuously analyze the data streams, eliminating the stop-start nature of offline processing and maintaining uninterrupted monitoring.
3Adaptability or versatility
If molecular communication networks are constructed with biological components only, then the system can use molecules to encode, transmit, and receive information, but the system has computational limitations and processing delays
Solution Approach 1:
Computational tasks are segmented and distributed: simple sensing functions remain in the biological domain where they are most effective, while complex computational analysis is transferred to electronic systems. This division allows molecular communication capabilities to be maintained while computational limitations are overcome.
Solution Approach 2:
The hybrid system creates a universal platform that combines the strengths of both biological and electronic systems. The biological components provide specialized molecular recognition and sensing, while electronic components provide general-purpose computational power, creating a multi-functional system that exceeds the capabilities of either approach alone.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient, real-time biological sensing and communication by simplifying computation and communication complexity, enhancing network scalability, throughput, and reducing engineering burdens.
Implementation Method 1
each region comprises an optogenetic system to generate, upon interacting with the at least one light beam, a plurality of biosensors
Implementation Method 2
a light detector configured to detect light received from one or more of the plurality of regions corresponding to a light intensity of the light-emitting molecules in that region and generate an electrical signal associated therewith
Data Source
AI summary
Devices, systems and methods for biological sensing and communication using optogenetics and electronics are described. One example method includes generating a light beam incident on multiple regions in a device, wherein each region comprises an optogenetic system to generate, upon interacting with the light beam, biosensors, wherein an interaction between the biosensors and stimulus molecules in each region is associated with a threshold for a production of an output molecule or an alteration of an output property of the output molecule, the biosensors, or the stimulus molecules, wherein the production or the alteration is based on a value associated with an information source, detecting an output received from one or more of the multiple regions corresponding to the output molecule or the output property in that region, and generating an electric signal associated therewith, and processing the electrical signal to determine the value associated with the information source.