Enabling Technologies for Cell-Silicon Interfacing: Difference between revisions
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=== Objectives === | === Objectives === | ||
[[Image:arl19-hybrid.png|right| | [[Image:arl19-hybrid.png|right|500px]] | ||
The general objective is to develop the fundamental technologies required for cell-CMOS interfacing by demonstrating a proof-of-concept, mixed-mode sensing device that can | The general objective is to develop the fundamental technologies required for cell-CMOS interfacing by demonstrating a proof-of-concept, mixed-mode sensing device that can | ||
sense and transduce signals from a complex matrix. Specific objectives: | sense and transduce signals from a complex matrix. Specific objectives: | ||
Revision as of 22:57, 25 December 2018
This project focuses on the challenges faced by traditional detection and diagnostic technologies including shelf-life, signal amplification and sensitivity, continuous monitoring and device lifetime, detection range, and matrix compatibility. Further, it provides the enabling technology to expand functionality in computation and biochemical response for mixed-mode sensing devices.
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Current participants: Additional participants: |
Collaborators: Past participants:
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Objectives
The general objective is to develop the fundamental technologies required for cell-CMOS interfacing by demonstrating a proof-of-concept, mixed-mode sensing device that can sense and transduce signals from a complex matrix. Specific objectives:
- Engineer and validate an arsenic-sensing circuit into Bacillus megaterium.
- Fabricate the microfluidics necessary for the retention of biological sensors to the IC
- Develop the CMOSIC technology, integrate it with the biological sensors and demonstrate the proof-of-concept for a mixed-mode sensing device
- Expand the capability of CMOSIC and cell-based circuits to enable communication from silicon to the cell, enabling programmability of cell-based circuits from ICs.
References
- A Field-Deployable Arsenic Sensor Integrating Bacillus Megaterium with CMOS Technology. Chelsea Y Hu, John B McManus, Fatemeh Aghlmand, Elin M Larsson, Azita Emami, Richard M Murray. Submitted, ACS Synthetic Biology, 2024.
- A 65nm CMOS Living-Cell Dynamic Fluorescence Sensor with 1.05fA Sensitivity at 600/700nm Wavelengths. Fatemeh Aghimand, Chelsea Hu, Saransh Sharma, Krishna K. Pochana, Richard M. Murray, Azita Emami. 2023 IEEE International Solid-State Circuits Conference (ISSCC).
- Construction of an inducible amyloid expression circuit in Bacillus megaterium: A case study with CsgA and TasA. Elin M. Larsson, John B. McManus, Richard M. Murray. bioRxiv 858266.
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