Multi-neuronal signals from the retina: acquisition and analysis

Meister, Markus; Pine, J.; Baylor, D. A.

doi:10.1016/0165-0270(94)90030-2

Cited by 375 publications

(289 citation statements)

References 12 publications

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“…Spike sorting is usually based on principal component analysis (PCA) [26]. For evaluation of data measured with high density MEAs, where individual neurons are detected on different electrodes, template matching and extended PCA algorithms were used [27,28].…”

Section: Data Evaluationmentioning

confidence: 99%

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

et al. 2010

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The electrical activity of a network of mammalian neurons is mapped with a Multi-Transistor Array (MTA) fabricated with extended CMOS technology. The spatial resolution is 7.4 µm on an area of 1 mm 2 at a sampling frequency of 6 kHz for a complete readout of 16,384 sensor transistors. Action potentials give rise to extracellular voltages with amplitudes in a range of 500 µV. On the basis of the high resolution in space and time, correlation algorithms are used to identify single action potentials with amplitudes as low as about 200µV, and to assign the signals to the activity of individual neurons even in a dense network.

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Section: Data Evaluationmentioning

confidence: 99%

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

et al. 2010

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“…161 Multiple electrode arrays (MEAs) of up to 100 electrodes patterned by photolithography on glass or silicon substrates have been used for decades; transparent MEAs can be made of indium tin oxide. 162,163 Planar MEAs, consisting of 10-100 electrode sites (with diameters on the order of the cells-i.e., ranging from a few microns up to a few tens of microns) spaced at 100-200 μm interdistance on glass plates, were used by Tomas et al, 164 Gross et al, 165 Novak and Wheeler, 166 and many others followed in studies of the activity and plasticity of developing cultured neuronal networks 167,168 or slices. 162,163,[169][170][171][172][173] MEAs are now commercially available in a variety of formats.…”

Section: Extracellular Electrode Arrays For Multisite Recording and Smentioning

confidence: 99%

Biology on a Chip: Microfabrication for Studying the Behavior of Cultured Cells

Tourovskaia

Folch

2003

Crit Rev Biomed Eng

173

140

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The ability to culture cells in vitro has revolutionized hypothesis testing in basic cell and molecular biology research and has become a standard methodology in drug screening and toxicology assays. However, the traditional cell culture methodology-consisting essentially of the immersion of a large population of cells in a homogeneous fluid medium-has become increasingly limiting, both from a fundamental point of view (cells in vivo are surrounded by complex spatiotemporal microenvironments) and from a practical perspective (scaling up the number of fluid handling steps and cell manipulations for high-throughput studies in vitro is prohibitively expensive). Micro fabrication technologies have enabled researchers to design, with micrometer control, the biochemical composition and topology of the substrate, the medium composition, as well as the type of neighboring cells surrounding the microenvironment of the cell. In addition, microtechnology is conceptually well suited for the development of fast, low-cost in vitro systems that allow for high-throughput culturing and analysis of cells under large numbers of conditions. Here we review a variety of applications of microfabrication in cell culture studies, with an emphasis on the biology of various cell types.

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“…Micro-electrode arrays (MEAs) (Thomas et al 1972;Gross 1979;Pine 1980) and related technologies such as tetrode probes (Gray et al 1995), silicon probes (Bai and Wise 2001) and multi-wire probes (Nicolelis et al 1998) offer great promise to record action potentials extracellularly from a large number of cells simultaneously (Meister et al 1994;Potter 2001), in cell culture, in slice or in vivo (Bragin et al 2000). In addition, electrical stimulation through such arrays has been reported in a wide variety of preparations, such as murine spinal cord (Gross et al 1993), rat cortex (Jimbo et al 1999), cat sciatic nerve (Branner and Normann 2000) and rabbit retina (Grumet et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Real-time multi-channel stimulus artifact suppression by local curve fitting

Wagenaar

Potter

2002

Journal of Neuroscience Methods

218

179

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We describe an algorithm for suppression of stimulation artifacts in extracellular micro-electrode array (MEA) recordings. A model of the artifact based on locally fitted cubic polynomials is subtracted from the recording, yielding a flat baseline amenable to spike detection by voltage thresholding. The algorithm, SALPA, reduces the period after stimulation during which action potentials cannot be detected by an order of magnitude, to less than 2 ms. Our implementation is fast enough to process 60-channel data sampled at 25 kHz in real-time on an inexpensive desktop PC. It performs well on a wide range of artifact shapes without re-tuning any parameters, because it accounts for amplifier saturation explicitly and uses a statistic to verify successful artifact suppression immediately after the amplifiers become operational. We demonstrate the algorithm's effectiveness on recordings from dense monolayer cultures of cortical neurons obtained from rat embryos. SALPA opens up a previously inaccessible window for studying transient neural oscillations and precisely timed dynamics in short-latency responses to electric stimulation.

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Multi-neuronal signals from the retina: acquisition and analysis

Cited by 375 publications

References 12 publications

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

Biology on a Chip: Microfabrication for Studying the Behavior of Cultured Cells

Real-time multi-channel stimulus artifact suppression by local curve fitting

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