Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Methods for short time series analysis of cell-based biosensor data.

I B Schwartz1, L Billings, J J Pancrazio

  • 1Naval Research Laboratory, Special Project in Nonlinear Science, Code 6700.3, Washington, DC 20375, USA. schwartz@nlschaos.nrl.navy.mil

Biosensors & Bioelectronics
|September 7, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enhancing noise-induced switching times in systems with distributed delays.

Chaos (Woodbury, N.Y.)·2018
Same author

Brain-computer interface devices for patients with paralysis and amputation: a meeting report.

Journal of neural engineering·2016
Same author

Large rare fluctuations in systems with delayed dissipation.

Physical review. E, Statistical, nonlinear, and soft matter physics·2012
Same author

Microfluidic based contactless dielectrophoretic device: Modeling and analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2010
Same author

Effective Vaccination Policies.

Information sciences·2010
Same author

Efficient cw end-pumped, end-cooled Nd:YVO(4) diode-pumped laser.

Applied optics·2008
Same journal

AI-driven photophysics-aware design of fluorescent probes with applications in α-synuclein biosensing and inhibitor screening.

Biosensors & bioelectronics·2026
Same journal

Three-dimensional helical integration of high-density linear microelectrode arrays and their cross-tissue applications.

Biosensors & bioelectronics·2026
Same journal

Integration of electrochemical sensors in organ-on-a-chip microfluidic platforms: Advances and perspectives.

Biosensors & bioelectronics·2026
Same journal

DNN-PURE: A deep neural network approach to paper-based urea sensing.

Biosensors & bioelectronics·2026
Same journal

Rationally architected MOF-derived Co<sub>3</sub>O<sub>4</sub>@NiMn-LDH hollow heterostructure-based sensor array empowering sensitive detection and discrimination of neurological biomarkers.

Biosensors & bioelectronics·2026
Same journal

Four-in-one multifunctional CoCu-NC@AuPt nanozyme integrated M13 phage-displayed nanobody based multimodal lateral flow immunoassay for bovine lactoferrin detection.

Biosensors & bioelectronics·2026
See all related articles

This study introduces novel methods for detecting cellular changes using limited spike data. Spike area distributions proved highly sensitive for identifying toxin effects in both spontaneous and stimulated neuron cells.

Area of Science:

  • Neuroscience
  • Cellular Biology
  • Biophysics

Background:

  • Detecting subtle changes in excitable cells is crucial for understanding cellular dynamics and drug responses.
  • Limited spike data presents a challenge for traditional time series analysis in neuroscience.
  • Assessing the impact of low toxin concentrations on neuronal activity requires sensitive detection methods.

Purpose of the Study:

  • To develop and evaluate novel methods for sensing changes in spiking cells with limited data.
  • To test the hypothesis that low toxin concentrations alter local statistics of neuronal dynamics.
  • To assess the sensitivity of these methods for cell drug and toxin detection.

Main Methods:

  • Development of two approaches: dynamically constructed local expansion rates and spike area distributions.

Related Experiment Videos

  • Application of methods to time series data from cultured neuron cells (spontaneous and stimulated spiking).
  • Analysis of short datasets from cells before and after treatment with a channel blocker.

    • Main Results:

    • Local expansion rates showed sensitivity to channel concentration in spontaneous spiking cells only.
    • Spike area distributions demonstrated measurable differences between control and treated conditions for both spiking types.
    • Spike area distributions exhibited higher sensitivity compared to local expansion rates.

    Conclusions:

    • Spike area distribution analysis is a sensitive method for detecting cellular changes induced by low toxin concentrations.
    • These methods offer potential for novel cell drug and toxin detection, particularly with limited spike data.
    • The findings contribute to advancing analytical techniques in cellular electrophysiology and toxicology.