LeafLabs works with academic, government, and industry partners to build technology that pushes the boundaries of science and engineering.  We love the challenge of squeezing an order of magnitude more speed, data, resolution, etc. from an instrument to enable new discoveries and innovations.

Whether you need help optimizing a pre-existing design, interfacing with third-party components, or designing a novel system from the ground up, our team can help provide game-changing solutions specific to your domain.
 

Technical Expertise

  • Embedded Systems: FPGA, MCU, SOC

  • High-speed Data Acquisition

  • Real-time Processing

  • Big Data Analysis

  • User Interface Design

  • Systems Integration
     

Domain-Specific Experience

  • In Vivo Electrophysiology

  • Microscopy and Optics

  • Astronomy and Space Physics

  • High-performance Scientific Computing
     

Services

  • Custom R&D

  • Technical Consulting

  • Grant Writing and Support
     
 

LeafLabs can help you build tools that will redefine your field


Get in touch with us! We’d love to hear about your project and how we might be able to help.

 

 

 

Scientific Instrumentation Projects

Willow

A 1024-channel neural recording system, designed to be one tenth the cost per channel of existing systems.

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A microscope designed to increas the spatial and temporal resolution of light-field microscopy by a combined factor of 100.

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Publications

  • Quadrato G, Nguyen T, Macosko EZ, Sherwood JL, Yang M, Berger D, Maria N, Scholvin J, Goldman M, Kinney J, Boyden ES, Lichtman, J, Williams ZM, McCarroll SA, Arlotta P (2017). Cell diversity and network dynamics in photosensitive human brain organoids. Nature, In press.

  • Scholvin J, Kinney JP , Bernstein JG, Moore-Kochlacs C, Kopell N, Fonstad C, & Boyden ES (2016). Heterogeneous neural amplifier integration for scalable extracellular microelectrodes, Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the , DOI: 10.1109/EMBC.2016.7591309.

  • Kinney JP, Bernstein JG, Meyer AJ, Barber JB, Bolivar M, Newbold B, Scholvin J, Moore-Kochlacs C, Wentz CT, Kopell NJ and Boyden ES (2015) A direct-to-drive neural data acquisition system. Front. Neural Circuits 9:46. DOI: 10.3389/fncir.2015.00046.

  • Scholvin J, Kinney JP , Bernstein JG, Moore-Kochlacs C, Kopell N, Fonstad C, & Boyden ES (2015). Close-packed silicon microelectrodes for scalable spatially oversampled neural recording, Biomedical Engineering, IEEE Transactions on , DOI:10.1109/TBME.2015.2406113.