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 Concept Videos

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

2.3K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
2.3K
Aliasing01:18

Aliasing

784
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
784

You might also read

Related Articles

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

Sort by
Same author

Sparse wavefield reconstruction and defect indication in low-SNR laser ultrasonics using physics-informed neural networks.

Ultrasonics·2026
Same author

Hepatic safety of sintilimab versus pembrolizumab in advanced non-small cell lung cancer: a retrospective observational cohort study.

Frontiers in immunology·2026
Same author

Enhanced Lipidomics via False-Positive Filtering and Multilevel Interpretation Reveals Six Mediators Linking Intravenous Omega-3 Lipid Emulsions to Neuropathic Pain Modulation.

Journal of agricultural and food chemistry·2026
Same author

Letter to the Editor: "INTERACT3 in Intensive Blood Pressure Meta-analysis: A Methodological Reappraisal".

Neurocritical care·2026
Same author

UGP-RAP: A DI-QDa-MS powered deep learning platform for automated identification of ultrafine granular powders.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

UGP system: A deep learning-driven platform for automated identification of ultrafine granular powders using chromatographic fingerprinting.

Journal of pharmaceutical analysis·2026

Related Experiment Video

Updated: Mar 31, 2026

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
06:01

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R

Published on: December 9, 2022

3.0K

Multiscale peak detection in wavelet space.

Zhi-Min Zhang1, Xia Tong, Ying Peng

  • 1College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China. hongmeilu@csu.edu.cn xqchen@csu.edu.cn.

The Analyst
|October 31, 2015
PubMed
Summary
This summary is machine-generated.

A new multi-scale peak detection (MSPD) method accurately identifies peaks in complex analytical data. MSPD improves upon continuous wavelet transform (CWT) by utilizing more wavelet features, enhancing accuracy for challenging datasets.

More Related Videos

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

12.5K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

Related Experiment Videos

Last Updated: Mar 31, 2026

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
06:01

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R

Published on: December 9, 2022

3.0K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

12.5K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

Area of Science:

  • Analytical Chemistry
  • Biophysics
  • Spectroscopy

Background:

  • Accurate peak detection is crucial for analyzing high-throughput data from analytical instruments.
  • Existing methods like derivatives and continuous wavelet transform (CWT) have limitations, including sensitivity to baseline variations, noise, and overlapping peaks, alongside high computational costs for CWT.

Purpose of the Study:

  • To introduce a novel multi-scale peak detection (MSPD) method that leverages additional information in wavelet space for improved accuracy and reliability.
  • To address the limitations of existing peak detection techniques, particularly for complex and noisy datasets.

Main Methods:

  • The study presents the multi-scale peak detection (MSPD) method, which utilizes ridges, valleys, and zero-crossings in wavelet space.
  • Peak detection accuracy is enhanced by thresholding using the maximum of each detected peak's ridge.
  • The method was implemented efficiently using Python and Cython.

Main Results:

  • MSPD demonstrated high accuracy in detecting peaks across various datasets, including MALDI-TOF spectra, CAMDA 2006 SELDI data, and Raman spectra.
  • Receiver operating characteristic (ROC) curves indicated that MSPD outperforms MassSpecWavelet and MALDIquant in detecting true peaks while maintaining a lower false discovery rate.
  • The method showed superior performance on Raman spectra, suggesting its potential as a universal peak detection tool.

Conclusions:

  • MSPD offers a more accurate and reliable approach to peak detection in high-throughput analytical signals compared to existing methods.
  • The method's effectiveness across diverse spectral data suggests its broad applicability in scientific analysis.
  • MSPD is available as an open-source package, facilitating its adoption in the research community.