Evidence map›Paper›PMID 25569330›Full record

ArticleNature protocols2015

Vibrational spectroscopic image analysis of biological material using multivariate curve resolution-alternating least squares (MCR-ALS).

Judith Felten, Hardy Hall, Joaquim Jaumot, Romà Tauler, Anna de Juan, András Gorzsás

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
23.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 297 citations in OpenAlex.

  1. Article
  2. PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026
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  9. Low-frequency Raman spectra of amyloid fibrils.The Journal of chemical physics · 2025
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  18. Review
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Judith FeltenUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.
Hardy HallUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.
Joaquim JaumotInstitut de Diagnòstic Ambiental i Estudis de l'Aigua-Consejo Superior de Investigaciones Científicas (IDAEA-CSIC), Barcelona, Spain.
Romà TaulerInstitut de Diagnòstic Ambiental i Estudis de l'Aigua-Consejo Superior de Investigaciones Científicas (IDAEA-CSIC), Barcelona, Spain.
Anna de JuanChemometrics Group, Department of Analytical Chemistry, Universitat de Barcelona, Barcelona, Spain.
András GorzsásDepartment of Chemistry, Umeå University, Umeå, Sweden.
Consejo Superior de Investigaciones Científicas · ESChemo (Spain) · ESSwedish University of Agricultural Sciences · SEUmeå Plant Science Centre · SEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman and Fourier transform IR (FTIR) microspectroscopic images of biological material (tissue sections) contain detailed information about their chemical composition. The challenge lies in identifying changes in chemical composition, as well as locating and assigning these changes to different conditions (pathology, anatomy, environmental or genetic factors). Multivariate data analysis techniques are ideal for decrypting such information from the data. This protocol provides a user-friendly pipeline and graphical user interface (GUI) for data pre-processing and unmixing of pixel spectra into their contributing pure components by multivariate curve resolution-alternating least squares (MCR-ALS) analysis. The analysis considers the full spectral profile in order to identify the chemical compounds and to visualize their distribution across the sample to categorize chemically distinct areas. Results are rapidly achieved (usually <30-60 min per image), and they are easy to interpret and evaluate both in terms of chemistry and biology, making the method generally more powerful than principal component analysis (PCA) or heat maps of single-band intensities. In addition, chemical and biological evaluation of the results by means of reference matching and segmentation maps (based on k-means clustering) is possible.

Indexed as

Multivariate AnalysisSpectroscopy, Fourier Transform InfraredSpectrum Analysis, RamanAnimalsImage Processing, Computer-AssistedIslets of LangerhansLeast-Squares AnalysisMice, Inbred C57BLPopulusUser-Computer InterfaceXylem

Identifiers

PMID25569330
OpenAlexW2077458217

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.