Hyperspectral Imaging for the Colorimetric Characterization of Purple Manuscripts: Accuracy, Biases, and Diagnostic Potential.

Cristina Fornacelli, Costanza Cucci, Andrea Casini, Maurizio Aceto, Marcello Picollo

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cristina FornacelliInstitute of Applied Physics "Nello Carrara" (IFAC), National Research Council (CNR), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, Italy.

Costanza CucciInstitute of Applied Physics "Nello Carrara" (IFAC), National Research Council (CNR), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, Italy.ORCID 0000-0001-8534-7465

Andrea CasiniInstitute of Applied Physics "Nello Carrara" (IFAC), National Research Council (CNR), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, Italy.

Maurizio AcetoDipartimento per lo Sviluppo Sostenibile e la Transizione, Università degli Studi del Piemonte Orientale Ecologica, Piazza S. Eusebio 5, 13100 Vercelli, Italy.ORCID 0000-0001-6360-3632

Marcello PicolloInstitute of Applied Physics "Nello Carrara" (IFAC), National Research Council (CNR), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, Italy.ORCID 0000-0003-1012-6048

Funding

Ministry of Universities and Research PRIN (Progetti di Ricerca di Rilevante Interesse Nazionale) Call 2020, Protocol n. 2020P8W99T - Sector ERC SH5, CUP C93C22000530001

6 · The paper itself

Abstract

Color measurement and monitoring of chromatic changes over time play a key role in the study and conservation of historical materials. In this context, hyper-spectral imaging (HSI) offers spatially resolved spectral information that can be converted into colorimetric data, although its quantitative reliability under in situ conditions remains challenging. This study evaluates the colorimetric performance of a HSI system (Specim IQ) through comparison with a reference spectrocolorimeter (Konica-Minolta CM-700d), combining laboratory measurements on certified standards and in situ analyses on purple-dyed manuscripts. Colorimetric coordinates (CIELAB) and color differences (ΔE

Indexed as

CIE Lab*colorimetryhyperspectral imagingpurple codicesSpecim IQ

Identifiers

PMID42280878

DOI10.3390/s26113358

PMCPMC13259110

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.