Matt Rowan

The Rowan Lab uses a combination of cutting-edge imaging, electrophysiological, optogenetic, and surgical techniques to answer fundamental questions about brain function. The research aims to uncover how the specialized properties of neurons allows for proper learning and behavior, with an emphasis on understanding how electrical and chemical signaling in the smallest regions of neurons (dendritic spines and axonal boutons) facilitate these processes. The Rowan Lab motivated to understand how these mechanisms are affected in the context of neurological disorders such as Alzheimer’s and Autism.

Compensation of physiological motion enables high-yield whole-cell recording in vivo

W.M. Stoy, B. Yang, A. Kighta, N.C.Wright, P.Y. Borden, G.B. Stanley, C.R. Forest (2021). Compensation of physiological motion enables high-yield whole-cell recording in vivo. 348(109008). https://doi.org/10.1016/j.jneumeth.2020.109008.

Method for Rapid Enzymatic Cleaning for Reuse of Patch Clamp Pipettes: Increasing Throughput by Eliminating Manual Pipette Replacement between Patch Clamp Attempts

Landry, C. R., Yip, M. C., Kolb, I., Stoy, W. M., Gonzalez, M. M. and Forest, C. R. (2021). Method for Rapid Enzymatic Cleaning for Reuse of Patch Clamp Pipettes: Increasing Throughput by Eliminating Manual Pipette Replacement between Patch Clamp Attempts. Bio-protocol 11(14): e4085. DOI: 10.21769/BioProtoc.4085.

Machine learning-based pipette correction for automated patch clamp in vitro

M.M. Gonzalez, M.C. Yip, C.F. Lewallen, M.J. Rowan, C.R. Forest, Machine learning-based pipette correction for automated patch clamp in vitro, SfN Global Connectome, Virtual Conference, Jan 11-13, 2021.

PatcherBot: a high throughput robotic single-cell electrophysiology system

Kolb, I., Landry, C. R., Yip, M. C., Lewallen, C. F., Stoy, W. A., Lee, J., Felouzis, A., Yang, B., Boyden, E. S., Rozell, C. J., & Forest, C. R. (2019). PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices. Journal of neural engineering, 16(4), 046003. https://doi.org/10.1088/1741-2552/ab1834

Pipette cleaning enables hundreds of automated patch attempts with a single pipette

C. Landry, I. Kolb, W. Stoy, M. Yip, C. Lewallen, C. Forest, Pipette cleaning enables hundreds of automated patch attempts with a single pipette, Proceedings of the Annual Meeting of the Society for Neuroscience (SfN), Sand Diego, CA, Nov. 3-7, 2018.

A robot for high yield electrophysiology and morphology of single neurons in vivo

L. Li, B. Ouellette, W. Stoy, E. Garren, T.L. Daigle, C.R. Forest, C. Koch, H. Zeng, A robot for high yield electrophysiology and morphology of single neurons in vivo, Nature Communications, 15604 (2017), doi:10.1038/ncomms15604

Optical method for automated measurement of glass micropipette tip geometry

M.A. Stockslager*, C.M. Capocasale* (*co-first authors), G.L. Holst, M.D. Simon, Y. Li, D.J. McGruder, E.B. Rousseau, W.A. Stoy, T. Sulchek, C.R. Forest, Optical method for automated measurement of glass micropipette tip geometry, Precision Engineering, Vol 46, p. 88-95, October 2016.

Integration of autopatching with automated pipette and cell detection in vitro

Q. Wu*, I. Kolb* (*co-first authors), B.M. Callahan, Z. Su, W. Stoy, S.B. Kodandaramaiah, R. Neve, H. Zeng, E.S. Boyden, C.R. Forest#, A.A. Chubykin# (#co-corresponding authors), Integration of autopatching with automated pipette and cell detection in vitro, J. Neurophysiology (in press). doi: 10.1152/jn.00386.2016

Cleaning patch-clamp pipettes for immediate reuse

I. Kolb, W.A. Stoy, E. Rousseau, O.A. Moody, A. Jenkins, C.R. Forest, Cleaning patch-clamp pipettes for immediate reuse, Scientific Reports 6: 35001, 2016. doi:10.1038/srep35001 (over 10 articles in popular press, example below in D.21, Altmetric score in 97th percentile of 133,000 articles of similar age in all journals)