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

Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

1.4K
Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI is an ionization technique, widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix...
1.4K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

1.3K
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
1.3K

You might also read

Related Articles

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

Sort by
Same author

mRNA Delivery by Lipoamino Fatty Acid-Peptide Polyplexes in Different Lung Cell Models and Lungs.

Polymers·2026
Same author

Dissecting mechanisms of ligand binding and conformational changes in the glutamine-binding protein.

eLife·2026
Same author

Unraveling Water Sorption in Single-Crystal MOFs: Insights from Spectroscopy and Modeling on the Role of Structure, Composition, and Guest Molecules.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

New insights into the intrinsic tryptophan fluorescence emission spectra of IgG antibodies and the impact of protein unfolding and aggregation.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V·2026
Same author

mtHsp70 chaperone converts mitochondrial proteostasis stress into impaired protein import.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Material Preparation Information File (MPIF): A Community-Driven Standard for Reporting MOF Syntheses.

Advanced materials (Deerfield Beach, Fla.)·2026

Related Experiment Video

Updated: Apr 30, 2026

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination
11:24

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

Published on: May 13, 2017

10.7K

Deep-LASI, single-molecule data analysis software.

Pooyeh Asadiatouei1, Clemens-Bässem Salem1, Simon Wanninger1

  • 1Department of Chemistry and Center for NanoScience (CeNS), Ludwig-Maximilians-Universität München, Munich, Germany.

Biophysical Journal
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

Deep-LASI software automates single-molecule data analysis, drastically reducing processing time from weeks to minutes. This enables faster, more efficient nanoscale research and new experimental possibilities.

More Related Videos

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.0K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.5K

Related Experiment Videos

Last Updated: Apr 30, 2026

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination
11:24

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

Published on: May 13, 2017

10.7K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.0K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.5K

Area of Science:

  • Nanotechnology
  • Biophysics
  • Computational Biology

Background:

  • Single-molecule methods offer nanoscale mechanistic insights but face data analysis limitations.
  • Current analysis is time-consuming, user-dependent, and requires extensive data.

Purpose of the Study:

  • Introduce Deep-LASI, a software suite for efficient single-molecule data analysis.
  • Enable both manual and automated analysis of molecular traces, interactions, and kinetics.

Main Methods:

  • Developed Deep-LASI for one-, two-, and three-color fluorescence data, specializing in FRET experiments.
  • Integrated machine learning (deep neural networks) and hidden Markov modeling for kinetic analysis.
  • Included functionalities for data registration, sorting, photobleaching determination, and FRET correction.

Main Results:

  • Demonstrated Deep-LASI's capability by analyzing a dynamic three-color DNA origami structure.
  • Achieved significant reduction in data analysis time, from days/weeks to minutes.
  • Enabled automated analysis without supervision after initial data input.

Conclusions:

  • Deep-LASI drastically accelerates single-molecule data analysis.
  • Facilitates new experimental approaches for nanoworld investigations.
  • Complements existing methodologies for nanoscale research.