iPSC-derived Neurons

Study of iPSC-derived Neurons 

MaxOne and MaxTwo are best suited for long-term and label-free analysis of induced pluripotent stem cell (iPSC) -derived neurons.

  • Mono-culture and co-culture (e.g., with astrocytes)
  • Disease model cells
  • Spheroids and Organoids

Webinar

Watch our iPSC webinar that introduces high-resolution functional imaging of human iPSC-derived neurons

What You Can Do

Evaluate Cell Function During Development
Track Cell Culture Activity Across Multiple Days and Obtain high-resolution activity maps of iPSC cultures using electrical activity

*Data from iPSC-derived Dopaminergic Neurons

 

MaxOne and MaxTwo enable recording of neuronal activity and label-free electrical imaging of whole samples. The extracellular action potential (EAP) activity map obtained provides information on:

  • Location of spontaneously active cells
  • EAP amplitude
  • Spike rate

Characterize Network Connectivity and Synchrony
Analyze functional connectivity and synchrony of iPSC-derived neuronal cultures

MaxOne and MaxTwo allow long-term tracking of active neurons. Connectivity and synchrony can be extracted from:

  • Network burst features (burst frequency, length, amplitude, etc.)
  • Pairwise correlations in neuronal spike trains
  • Response to selective electrical stimulation

Investigate Cell Maturity and Excitability
Study propagation of action potentials along axonal arbors of hundreds of iPSC-derived neurons simultaneously

MaxOne and MaxTwo capture the activity of neurons at high signal quality and unprecedented spatio-temporal resolution, allowing the detection of action potentials along axons.

  • Observe axonal action potential propagation of single neurons across multiple days.
  • Analyze axonal conduction velocity.
  • Compare axonal action potential propagation between healthy and disease model cell lines.
Download Application Brochure

Selected Publications

DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks

Hornauer, Philipp; Prack, Gustavo; Anastasi, Nadia; Ronchi, Silvia; Kim, Taehoon; Donner, Christian; Fiscella, Michele; Borgwardt, Karsten; Taylor, Verdon; Jagasia, Ravi; Roqueiro, Damian; Hierlemann, Andreas; Schröter, Manuel

DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks Journal Article

Stem Cell Reports, 2024.

Abstract | Links | BibTeX

Hyperexcitability and translational phenotypes in a preclinical model of SYNGAP1mutations

Silverman, Jill L; Fenton, Timothy; Haouchine, Olivia; Hallam, Elizabeth; Smith, Emily; Jackson, Kiya; Rahbarian, Darlene; Canales, Cesar; Adhikari, Anna; Nord, Alex; Ben-Shalom, Roy

Hyperexcitability and translational phenotypes in a preclinical model of SYNGAP1mutations Journal Article

Research Square, 2023.

Abstract | Links | BibTeX

Critical dynamics arise during structured information presentation within embodied in vitro neuronal networks

Habibollahi, Forough; Kagan, Brett J; Burkitt, Anthony N; French, Chris

Critical dynamics arise during structured information presentation within embodied in vitro neuronal networks Journal Article

Nature Communications, 2023.

Abstract | Links | BibTeX

Functional imaging of conduction dynamics in cortical and spinal axons

Radivojevic, Milos; Punga, Anna Rostedt

Functional imaging of conduction dynamics in cortical and spinal axons Journal Article

eLife, 2023.

Abstract | Links | BibTeX

Investigation of the input-output relationship of engineered neural networks using high-density microelectrode arrays

Duru, Jens; Maurer, Benedikt; Doran, Ciara Giles; Jelitto, Robert; Küchler, Joël; Ihle, Stephan J; Ruff, Tobias; John, Robert; Genocchi, Barbara; Vörös, János

Investigation of the input-output relationship of engineered neural networks using high-density microelectrode arrays Journal Article

Biosensors and Bioelectronics, 2023.

Abstract | Links | BibTeX

Microfluidic technologies for reconstituting neuronal network functions in vitro

Yamamoto, Hideaki; Hirano-Iwata, Ayumi; Sato, Shigeo

Microfluidic technologies for reconstituting neuronal network functions in vitro Journal Article

JSAP Review, 2023.

Abstract | Links | BibTeX

Cultured Vagal Afferent Neurons as Sensors for Intestinal Effector Molecules

Girardi, Gregory; Zumpano, Danielle; Goshi, Noah; Raybould, Helen; Seker, Erkin

Cultured Vagal Afferent Neurons as Sensors for Intestinal Effector Molecules Journal Article

biosensors, 2023.

Abstract | Links | BibTeX

Generation of functional posterior spinal motor neurons from hPSCs-derived human spinal cord neural progenitor cells

Xu, He Jax; Yao, Yao; Yao, Fenyong; Chen, Jiehui; Li, Meishi; Yang, Xianfa; Li, Sheng; Lu, Fangru; Hu, Ping; He, Shuijin; Peng, Guangdun; Jing, Naihe

Generation of functional posterior spinal motor neurons from hPSCs-derived human spinal cord neural progenitor cells Journal Article

Cell Regeneration, 2023.

Abstract | Links | BibTeX

Multiplex epigenome editing of MECP2 to rescue Rett syndrome neurons

Qian, Junming; Guan, Xiaonan; Xie, Bing; Xu, Chuanyun; Niu, Jacqueline; Tang, Xin; Li, Charles H; Colecraft, Henry M; Jaenisch, Rudolf; Liu, Shawn X

Multiplex epigenome editing of MECP2 to rescue Rett syndrome neurons Journal Article

Science Translational Medicine, 2023.

Abstract | Links | BibTeX

CASK loss of function differentially regulates neuronal maturation and synaptic function in human induced cortical excitatory neurons

McSweeney, Danny; Gabriel, Rafael; Jin, Kang; Pang, Zhiping P; Aronow, Bruce; and Pak, ChangHui

CASK loss of function differentially regulates neuronal maturation and synaptic function in human induced cortical excitatory neurons Journal Article

iScience, 2022.

Abstract | Links | BibTeX

Long-term morphological and functional dynamics of human stem cell-derived neuronal networks on high-density micro-electrode arrays

Habibey, Rouhollah; Striebel, Johannes; Schmieder, Felix; Czarske, Jürgen; Busskamp, Volker

Long-term morphological and functional dynamics of human stem cell-derived neuronal networks on high-density micro-electrode arrays Journal Article

Frontiers in Neuroscience, 2022.

Abstract | Links | BibTeX

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

Buccino Alessio Paolo; Damart, Tanguy; Bartram Julian; Mandge Darshan; Xue Xiaohan; Zbili Mickael; Gänswein Tobias; Jaquier Aurélien; Emmenegger Vishalini; Markram Henry; Hierlemann Andreas; Van Geit Werner.

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays Journal Article

bioRxiv, 2022.

Abstract | Links | BibTeX

Inferring monosynaptic connections from paired dendritic spine Ca2+ imaging and large-scale recording of extracellular spiking

Xue, Xiaohan; Buccino, Alessio Paolo; Kumar, Sreedhar Saseendran; Hierlemann, Andreas; Bartram, Julian

Inferring monosynaptic connections from paired dendritic spine Ca2+ imaging and large-scale recording of extracellular spiking Journal Article

Journal of Neural Engineering, 2022.

Abstract | Links | BibTeX

Generation of functional posterior spinal motor neurons from hPSCs-derived human spinal cord neural progenitor cells

Xu, Jax H; Yao, Yao; Yao, Fenyong; Chen, Jiehui; Li, Meishi; Xianfa, ; Yang, ; Li, Sheng; Lu, Fangru; Hu, Ping; He, Shuijin; Peng, Guangdun; Jing, Naihe

Generation of functional posterior spinal motor neurons from hPSCs-derived human spinal cord neural progenitor cells Journal Article

BioRxiv, 2022.

Abstract | Links | BibTeX

Unifying framework for information processing in stochastically driven dynamical systems

Kubota, Tomoyuki; Takahashi, Hirokazu; and Nakajima, Kohei

Unifying framework for information processing in stochastically driven dynamical systems Journal Article

Physical Review Research, 2021.

Abstract | Links | BibTeX

Contact Us

We would love to chat with you! Book a one-to-one call with one of our scientist to discuss how MaxWell Biosystems’ high-content electrophysiology solutions can bring new key insights to your project or request a quote.



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