Combination of Techniques
While HD-MEAs provide unprecedented means to probe the function of neurons and cardiomyocytes, there are important modalities – for example, optical observation of markers or cellular processes or mechanical stimulation – that are impractical to implement in CMOS chip and system designs. To address these shortcomings, HD-MEA technology can be combined with other experimental techniques. We work on combining HD-MEAs with fluorescence microscopy, optogenetics, and optical stimulation, on combining HD-MEAs with the patch-clamp technique, and on combining HD-MEAs with atomic force microscopy (AFM). Each combination provides unique advantages. In addition, we also work on combining technologies for use of HD-MEAs for in-vivo applications.
While HD-MEAs facilitate the study of network spiking dynamics at single-cell resolution, they currently do not allow for detection of small sub-threshold signals, such as postsynaptic potentials (PSPs). To overcome this limitation, HD-MEAs can be combined with whole-cell patch clamping, which provides the sensitivity to detect even small synaptically evoked currents or potentials. Extracellular stimulation of neurons through HD-MEA electrodes and recording of evoked postsynaptic responses with a patch-clamp electrode can be used to infer the existence and strength of monosynaptic connections.

Simultaneous investigations of neural circuits by means of HD-MEAs and optical microscopy have also proven to be powerful. While both methods can be used to monitor and/or induce neural activity, they complement each other in terms of obtainable information. The quantitative optical readout of fluorescent reporters can provide estimates of concentrations of important ions (e.g., intracellular Ca2+) that are inaccessible to extracellular recordings alone.
Moreover, a growing body of evidence shows that neurons may be mechanosensitive cells, so that platforms that combine HD-MEAs with tools to deliver mechanical stimuli, such as an atomic force microscope (AFM) may provide new insights. Using a combined AFM/HD-MEA system provides subcellular resolution for both mechanical stimulation and electrical readout and enables to investigate mechanosensation of neurons in dependence of the stimulus characteristics.

Finally, we also work on combining technologies for use of the HD-MEA platform for in-vivo applications. The CMOS chip then serves as the base and provides all readout and stimulation functions to structures that are connected to the chip like metal-wire bundles, intended to penetrate living tissue, or large arrays of electrodes on a soft polymer substrate for high-density electrocorticography (ECoG)-like measurements. Arrays of penetrating electrodes also have been directly 3D-printed on our CMOS-chips.
Relevant publications
K. Kasuba, A. Buccino, J. Bartram, B. Gaub, F. Fauser, S. Ronchi, S. Kumar, S. Geissler, M. Nava, A. Hierlemann, D. Müller, "Mechanical stimulation and electrophysiological monitoring at subcellular resolution reveals differential mechanosensation of neurons within networks", Nature Nanotechnology 2024, 19, p. 825-833 (DOI: 10.1038/s41565-024-01609-1). external page Online
P. Wang, E. Wu, H. Ulusan, E. Zhao, A. Phillips, A. Kling, M. Hays, P. Vasireddy, S. Madugula, R. Vilkhu, A. Hierlemann, G. Hong, E.J. Chichilnisky, and N. Melosh, "Direct-print 3D electrodes for large-scale, high-density, and customizable neural interfaces", Advanced Science 2024, Article 2408602 (DOI: 10.1002/advs.202408602). external page Online
X. Xue, A. P. Buccino, S. Saseendran Kumar, A. Hierlemann, and J. Bartram, "Inferring monosynaptic connections from paired dendritic spine Ca2+ imaging and large-scale recording of extracellular spiking", Journal of Neural Engineering 2022, 19 (4), Article 046044 (DOI: 10.1088/1741-2552/ac8765). external page Online
J. Bartram, F. Franke, S. Kumar, A. Buccino, X. Xue, T. Gänswein, M. Schröter, T. Kim, K. Kasuba, A. Hierlemann, "Parallel reconstruction of the excitatory and inhibitory inputs received by single neurons reveals the synaptic basis of recurrent spiking", eLife 2023, Article 12:RP86820 (DOI: 10.7554/eLife.86820.2). external page Online
E. T. Zhao, J. M. Hull, N. M. Hemed, H. Uluşan, J. Bartram, A. Zhang, P. Wang, A. Pham, S. Ronchi, J. R. Huguenard, A. Hierlemann, and N. A. Melosh, "A CMOS-based highly scalable flexible neural electrode interface", Science Advances 2023, 9, Article: eadf9524 (DOI:10.1126/sciadv.adf9524). external page Online