High-throughput feedback-enabled optogenetic stimulation and spectroscopy in microwell plates

William Benman, Saachi Datta, David Gonzalez-Martinez, Gloria Lee, Juliette Hooper, Grace Qian, Gabrielle Leavitt, Lana Salloum, Gabrielle Ho, Sharvari Mhatre, Michael S. Magaraci, Michael Patterson, Sevile G. Mannickarottu, Saurabh Malani, Jose L. Avalos, Brian Y. Chow, Lukasz J. Bugaj

Research output: Contribution to journalArticlepeer-review

Abstract

The ability to perform sophisticated, high-throughput optogenetic experiments has been greatly enhanced by recent open-source illumination devices that allow independent programming of light patterns in single wells of microwell plates. However, there is currently a lack of instrumentation to monitor such experiments in real time, necessitating repeated transfers of the samples to stand-alone analytical instruments, thus limiting the types of experiments that could be performed. Here we address this gap with the development of the optoPlateReader (oPR), an open-source, solid-state, compact device that allows automated optogenetic stimulation and spectroscopy in each well of a 96-well plate. The oPR integrates an optoPlate illumination module with a module called the optoReader, an array of 96 photodiodes and LEDs that allows 96 parallel light measurements. The oPR was optimized for stimulation with blue light and for measurements of optical density and fluorescence. After calibration of all device components, we used the oPR to measure growth and to induce and measure fluorescent protein expression in E. coli. We further demonstrated how the optical read/write capabilities of the oPR permit computer-in-the-loop feedback control, where the current state of the sample can be used to adjust the optical stimulation parameters of the sample according to pre-defined feedback algorithms. The oPR will thus help realize an untapped potential for optogenetic experiments by enabling automated reading, writing, and feedback in microwell plates through open-source hardware that is accessible, customizable, and inexpensive.

Original languageEnglish (US)
Article number1192
JournalCommunications Biology
Volume6
Issue number1
DOIs
StatePublished - Dec 2023

All Science Journal Classification (ASJC) codes

  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • Medicine (miscellaneous)

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