Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Robust and Democratic s‑SNOM Data Analysis and Modeling in Quasar.

ACS omega·2026

Same author

Emissive perovskite quantum wires in robust nanocontainers: CsPbX<sub>3</sub> confined inside boron nitride nanotubes.

Nanoscale·2026

Same author

Broadband Fourier-Transform Optical Photothermal Infrared Spectroscopy and Imaging.

Analytical chemistry·2025

Same author

The first observation of calcium oxalate accumulation in human hair.

The Analyst·2025

Same author

Structure <i>versus</i> composition: a comparative study across scales.

Faraday discussions·2025

Same author

The Effect of Combining Femtosecond Laser and Electron Irradiation on Silica Glass.

Nanomaterials (Basel, Switzerland)·2024

Same journal

Correction: Verde et al. Molecular Mechanisms of Protein Aggregation in ALS-FTD: Focus on TDP-43 and Cellular Protective Responses. <i>Cells</i> 2025, <i>14</i>, 680.

Cells·2026

Same journal

Inflammation in Cardiomyopathies: Cellular Mechanisms Across Cardiac Phenotype.

Cells·2026

Same journal

IL-4/IL-13-Driven Dysregulation of Epidermal Lipid Metabolism in Atopic Dermatitis: An Immunometabolic Link Between Type 2 Inflammation and Barrier Dysfunction.

Cells·2026

Same journal

Activity of DNA- and RNA-Guided Prokaryotic Argonautes in Human Mitochondria.

Cells·2026

Same journal

Placental Pathophysiology in Maternal Psychoactive Substance Use: Biological, Clinical, and Forensic Perspectives.

Cells·2026

Same journal

PACAP and Maxadilan (PAC1 Agonist) Influence Plaque Progression, Migratory Ability, and Mitochondrial Morphology and Dynamics in Vascular Smooth Muscle Cells.

Cells·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 18, 2025

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

Quasar: Easy Machine Learning for Biospectroscopy.

Marko Toplak¹, Stuart T Read², Christophe Sandt³

¹Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia.

|September 28, 2021

Summary

This summary is machine-generated.

Scientists developed Quasar, an open-source software, to address challenges in analyzing large scientific datasets, particularly in biomedical research. This user-friendly tool integrates machine learning with spectroscopy data, enhancing data analysis capabilities.

Keywords:

data analysis data exploration machine learning open source visual programming

More Related Videos

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

Related Experiment Videos

Last Updated: Oct 18, 2025

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

Area of Science:

Biomedical research
Data science
Spectroscopy

Background:

Scientific data volumes are overwhelming human comprehension, especially in biomedical research with complex experimental designs.
Existing data analysis tools are often user-unfriendly, lack capabilities, are inaccessible, or become obsolete.
There is a growing need for flexible tools to integrate machine learning (ML) with spectroscopy data.

Purpose of the Study:

To introduce Quasar, an open-source and user-friendly software solution.
To address the limitations of current data analysis tools in handling large scientific datasets.
To facilitate the integration of machine learning techniques with spectroscopy data analysis.

Main Methods:

Development of Quasar, an open-source software platform.
Application of Quasar to analyze infrared spectroscopy data.
Utilization of various machine learning techniques within Quasar.

Main Results:

Quasar provides a user-friendly interface for complex data analysis.
The software successfully analyzes infrared spectroscopy data using ML.
Case studies demonstrate the effectiveness and features of Quasar.

Conclusions:

Open-source software with community engagement is crucial for advancing scientific data analysis.
Quasar offers a flexible and accessible solution for integrating ML with spectroscopy.
The developed software addresses the need for user-friendly tools in handling large scientific datasets.