Examination of historical paintings by state-of-the-art hyperspectral imaging methods: from scanning infra-red spectroscopy to computed X-ray laminography
© Legrand et al.; licensee Chemistry Central Ltd. 2014
Received: 17 February 2014
Accepted: 7 May 2014
Published: 30 May 2014
The development of advanced methods for non-destructive selective imaging of painted works of art at the macroscopic level based on radiation in the X-ray and infrared range of the electromagnetic spectrum are concisely reviewed. Such methods allow to either record depth-selective, element-selective or species-selective images of entire paintings. Camera-based ‘full field’ methods (that record the image data in parallel) can be discerned next to scanning methods (that build up distributions in a sequential manner by scanning a beam of radiation over the surface of an artefact). Six methods are discussed: on the one hand, macroscopic X-ray fluorescence and X-ray diffraction imaging and X-ray laminography and on the other hand macroscopic Mid and Near Infrared hyper- and full spectral imaging and Optical Coherence Tomography. These methods can be considered to be improved versions of the well-established imaging methods employed worldwide for examination of paintings, i.e., X-ray radiography and Infrared reflectography. Possibilities and limitations of these new imaging techniques are outlined.
Historical paintings are considered to be among the most precious cultural heritage artefacts and have been the subject of intensive studies for decades. Scientific studies on such artefacts are highly relevant, in order to optimize the preservation of the paintings for coming generations and/or to gain more profound insights in their creation process [1–3]. This review focusses on the examination of easel paintings, i.e., painted renditions realized on a moveable substrate. Easel painting consists typically of a support, ground, paint and varnish layers, applied on top of one another. Canvasses and wooden panels are the most popular supports, but also other materials such as thin copper plates, paper, stone and glass have been used. Often the pictorial layers are very thinly painted out, making some of them semi-transparent. Micrometers below a painting’s surface, a wealth of information may be present about the creative process followed by the artist while making the work of art. Many painterly effects can critically depend on the layer build-up: e.g., the translucent shine of colorful tissues, the suggestion of shadow in flesh tones or the convincing illusion of an object’s texture may be realized by deliberately including the optical contribution of lower layers. Additionally, knowledge about the stratigraphy of a painting often is highly relevant in conservation when stability problems such as paint discoloration or delamination are studied. Thus, the study of a painting, its composition and stratigraphy is a common research theme shared by curators, conservators and conservation scientists. However, this information, comprised of structural and compositional aspects, is usually not easy to obtain in a non-invasive manner. Next to the visible surface layers, subsurface layers may include underdrawings, underpaintings, and adjustments made in the course of painting. Together, all these layers determine the current appearance of the work of art. In a growing number of cases conservators have discovered abandoned compositions underneath paintings, illustrating the artist’s practice of reusing a canvas or panel. Imaging methods that can “read” this hidden information without any damage to the artwork are therefore valuable for art-historical research  while also being very useful during restoration activities.
X-ray based methods
The variants of XRR that will be discussed below in more detail are called Macroscopic X-ray fluorescence (MA-XRF), the related method of Macroscopic X-ray diffraction (MA-XRD) and Computed X-ray laminography (CXL). All are non-destructive techniques, eliminating the need to remove material from the artefacts for their examination. The first two allow for element- or (crystal) phase-selective imaging at the length scale of the paintings themselves while the third method is suitable for depth selective micro imaging.
Macroscopic X-ray fluorescence analysis (MA-XRF)
XRF is a well-established method of quantitative element analysis that is based on the ionization of the atoms of the material being irradiated by an energetic beam of primary X-rays [6, 7]. Characteristic radiation emitted by the ionized atoms contains information on the nature and the abundance of the elemental constituents present. The technique is particularly efficient for studying high-Z elements in low-Z matrices. Since XRF meets a number of the requirements of the ‘ideal method’ for non-destructive analysis of cultural heritage materials , analysis of objects of artistic and/or archaeological value with conventional XRF is fairly common. Several textbooks cover the fundamental and methodological aspects of the method and its many variants . XRF on cultural heritage and archaeological materials and artefacts is mainly used in reflection geometry. MA-XRF has recently been implemented to determine the distribution of pigments on easel paintings over large areas. Note that this method is not depth-selective so that projected pigment distributions (present at and/or below the visible paint surface) are obtained. In 2008, Dik et al. used a 38.5-keV X-ray beam of 0.5 mm in diameter to record XRF spectra from a 17.5×17.5 cm2 area of the painting Patch of Grass by Vincent van Gogh; this was done to visualize the portrait below the visible landscape . While most of the elemental maps recorded from Patch of Grass reflect the individual paint strokes that constitute the multicolored meadow, reconstruction of the flesh tones of the hidden head of a woman was possible by combining the Sb (yellow-orange, Naples Yellow) and Hg (red, vermillion) distributions. Following this initial and promising result, the MA-XRF setup at the synchrotron facility was employed to examine paintings by Rembrandt van Rijn , Philipp Otto Runge  and several other paintings by Van Gogh [13, 14]. A self-portrait by Australian artist Sir Arthur Streeton (1867–1943) that he covered at a later stage with heavy brushstrokes of lead white paint has been re-visualized by Howard et al.  at the Australian Synchrotron radiation facility, making use of a multiple element detector system offering very fast scanning possibilities. One of the developments permitting the use of the MA-XRF method on a larger scale has been the construction of mobile (i.e., X-ray tube based) MA-XRF scanners [14, 16–18] that can be used inside the museum or picture gallery where the works of art normally are displayed or conserved. Alfeld et al.  has designed and optimized such a device, reporting element sensitivities that are of same order of magnitude as those of the SR-based setup employed to scan Patch of Grass. Since the SR setup employed monochromatic 38.5 keV radiation while the mobile device employs the complete bremsstrahlung spectrum of Mo- or Rh-anode tubes bombarded with 45–50 kV electrons, the SR setup shows higher Kα-sensitivities for heavy elements (such as Ag, Cd, Sn, Sb) while the reverse is true for elements with atomic number below 40 (Zr). The availability of the mobile MA-XRF scanner permitted the investigation of a number of paintings ‘in their native environment’ that normally would have been nearly impossible to transport to synchrotron facilities, either because they were too large, too fragile, too valuable or all of these. A MA-XRF scanner is commercially available from Bruker Nano GmbH (Berlin, Germany) under the name ‘M6 Jetstream’ . Using this device, several paintings by 15th, 17th, 19th and 20th C. artists such as Memling, Rembrandt, Hals, Van Gogh, Magritte, Mondriaan and Pollock could be examined successfully in various museums in The Netherlands, Belgium and the USA.
Since the X-ray radiographs of the side panels, recorded several decades ago, suggest that changes were made to the representation and position of the minor characters in both wings, MA-XRF was used to vizualise any pentimenti in the tryptich to allow for a better understanding of its evolution under the hand of Memling. Some of the MA-XRF results obtained with the M6 scanner (see Figure 2B) are shown in Figure 2C-F. Usually, the MA-XRF Pb-Lα distribution (Figure 2C) resembles the XRR image but shows the distribution of lead white (and other lead containing pigments, if any) in a more clear fashion. When considering the copper distribution (green, Figure 2E), we notice that in the original version of the right panel, only four daughters were depicted against a landscaped background, painted with one of more Cu-containing green pigments. Much more of the hill/lawn to the right of Mrs. Moreel was originally visible; in the landscape, positions were left open for her portrait and that of her (first) four daughters. The faces of the additional seven daughters were painted on top of the verdant background in a later phase. The mercury map (red, Figure 2D) shows that initially, Mrs. Moreel’s hat was less elongated. Finally, in the lead distribution, it can be seen (grey/white, Figure 2C) that she and her oldest daughter originally wore more revealing dresses, as is still the case for the second daughter (to the right of the nun). In left panel of the Moreel tryptich (Figure 2F) changes were made to the positions of the male children behind William Moreel: an additional portrait (of his fourth son) was inserted between that of the two boys already in the background while the eldest son was moved closer to his father (Figure 2I). The latter changes are particularly visible in the Pb and Sr images (Figure 2G and H). From the above we can conclude that the process of creating this altar piece went through at least two major stages, a first in which the relatively young Moreel family was represented in a balanced manner against a green landscape. In order to include in a second phase all the younger children, some of the balance of the representation was sacrified by the artist. This also allowed a number of minor aspects (such as the dress of the eldest daughter) of the painting to be brought up-to-date. The above shows how the use of MA-XRF opens up the possibility for art-historians and conservators alike to explore in greater depth and with unprecedented detail the creative process that led to paintings of this type by Hans Memling and other artists.
Macroscopic XRD (MA-XRD)
Computed X-ray Laminography (CXL)
Thus, this method is well adapted to study the temporal evolution of the stratigraphy in test specimens and offers an alternative to destructive sampling of original works of art. In a fashion very similar to that used with high magnification optical microscopes, the laminographic technique allows to obtain detailed morphological images at any depth in an (optically opaque) paint layer stack [31, 32]. CXL thus presents a non-invasive and non-destructive alternative to sampling and polishing where such fine structure needs to be preserved. The technique has a high potential in studying conservation problems on test specimens or original works of art, where the microstructure of carrier, ground or paint is of importance but sample removal is to be avoided.
Methods based on infrared radiation
IRR was introduced in the 1960’s by J.R.J. van Asperen de Boer, using PbS-based Vidicon tubes as recording devices and has seen important technological improvements over the past years [33–35]. An infra-red (IR) source of around 1.2 μm is used to illuminate objects; this radiation will readily penetrate through a number of commonly occurring paint constituents such as lead white, while becoming strongly absorbed by others such as carbon black. The radiation (0.9-1.7 μm) reflected by the illuminated objects is now typically recorded with a InGaAs (or equivalent) camera, allowing for rapid acquisition of high definition images with a resolution up to 0.1 mm, covering areas of typically 0.5 × 0.5 m2. Over the past decades, IRR has become a routine form of analysis in many painting collections, almost exclusively for the study of carbon-based underdrawings in paintings from the 16th century and earlier. In such artefacts, IR-absorbing carbon black tracery is often applied on IR-reflective chalk or gypsum grounds, resulting in a strong contrast in the reflectograms. Examination of 17th or 18th century paintings with IRR tends to be less rewarding because these later paintings often were set up in sketchy touches of earth pigments, or underdrawn in white chalk. These pigments are very poor infrared absorbers. Furthermore, many 17th century paintings were painted on colored grounds that poorly reflect IR. Another limiting factor is that many of the paints contain infrared absorbing pigments, such as carbon black, that make it hard to distinguish the underlying drawings from the covering paint layers. Next to the acquisition of full field reflection images by IR-sensitive cameras, scanning may also be employed. Already in 2006, Saunders et al.  devised a camera system that acquired 25 Mpixel IRRs with a lateral resolution of 100 μm; it incorporated a small (320 × 256 pixel) moving InGaAs sensor of which the images were stitched together. This lightweight camera, suitable for in-situ measurements, is commercially available (OSIRIS camera) and is sensitive in the 0.9-1.7 μm wavelength range. The camera itself does not offer any means of wavelength dispersion or selection, but via absorption filters the spectral range effectively acquired can be adjusted to optimize the vizualisation of underdrawing material. Daffara et al. have described an advanced scanner that records 14 bands from 0.7 to 2.3 μm and that allows for multispectral imaging of large paintings, achieving a spatial resolution of 0.5 mm . Fast movement of the scanner head in front of the painting allows recording IRR maps of 1 m2 areas within a period of several hours at maximum resolution.
Delaney et al. have more recently described a novel near-infrared (NIR) system that allows for hyperspectral imaging in 342 narrow wavelength bands situated in the 1.0-2.5 μm (4000–10000 cm-1) range [37–41]. The system incorporates a scan mirror, an imaging lens, a transmission grating spectrometer + relay lens and a cryo-cooled (640 × 512 pixel) InSb sensor. The area examined is scanned one-dimensionally by rotation of the mirror while the other camera dimension is used for wavelength dispersion. In a number of cases where the results of MA-XRF do not significantly differ from those obtained by XRR, for example in the case where very thick overpainted layers of lead white are present, this system has allowed to obtain contrast-rich imaging information. This complementarity was recently underscored during the examination of a painting by R. Magritte, called Le Portrait (1934, Museum of Modern Art, New York City, USA) by means of a combination of traditional XRR, MA-XRF and NIR-hyperspectral imaging [Van der Snickt G, Martins A, Duffy M, McGlinchey C, Coddington J, Delaney JK, Janssens K, Dik J: Multimodal examination of 'Le portrait' by R. Magritte by means of X-ray and Infrared hyperspectral imaging methods reveals an overpainted representation, submitted]. The combined use of the resulting images allowed art historians of MoMA to identify the work present below the surface as La Pose Enchantée, a painting erroneously believed lost that was made by Magritte in 1927 but overpainted in 1935.
Also in the mid infrared (MIR) range, a tendency towards hyperspectral imaging and even full spectrum recording at all pixel positions is discernable. Promising results have been recently reported by Rosi et al.  using a novel hyperspectral imaging system (Hi90, Bruker Optics), originally developed for the remote identification and mapping of hazardous compounds. It is based on a focal-plane array mercury cadmium telluride (FPA-MCT) detector having 256×256 pixels. This device operates in the 900–1300 cm-1 (7.7-11.0 μm) spectral range and allows for the parallel recording of series of MIR spectra (with adequate spectral resolution -4 cm-1), corresponding to each pixel of the investigated area. It was successfully used for mapping of both organic and inorganic compounds in a painting by A. Burri. Daffara et al. also have reported on a device operating in the 2000–3000 cm-1 (3.3-5.0 μm) range .
It must be mentioned here that the mid-FTIR based methods are severely hampered by the presence of varnish (or other organic cover) layers and in practice can only be employed on paintings that are not varnished or those where the varnish has been temporarily removed. This important limitation is not present with the X-ray based imaging methods discussed above where both primary and secondary (XRF) radiation can easily penetrate any cover layers.
A related and notable development of recent years is the depth selective variant of NIR-based imaging called Optical Coherence Tomography (OCT) [47, 48]. OCT is a point scanning system based on the use of a NIR source coupled to a Michelson interferometer. The source, similar to those used for conventional IRR, illuminates both a reference mirror and the object under examination. Constructive interference occurs when the length of the optical path of the light that is backscattered within the object matches, within the coherence length, the length of the optical path of the radiation reflected by the mirror. The interference measurement therefore enables the determination of the depth at which the reflection took place within the object. This adds depth-resolution to the infra-red investigation of paintings, allowing mapping of the distribution of specific materials and material interfaces throughout the paint stratigraphy. The technique proves to be a powerful imaging tool in the study of thinly painted layers as found in 16th century and earlier paintings [49, 50]. The technique is particularly valuable for the study of near-surface features, notably translucent layers such as glazes and varnish .
In this paper a brief overview was presented of recent methodological and instrumental developments regarding the characterization of painted works of art based on either penetrative X-ray or Infrared radiation. Macroscopic XRF is a variant of the general method of X-ray fluorescence analysis that is well suited to visualize the elemental distribution of key elements, mostly metals, present in areas of around 0.5-1 m2 or more. This method is not depth-selective so that projected pigment distributions (at and/or below the visible paint surface) are obtained. For depth-selective imaging of the individual layers in a painting, on the other hand X-ray laminography, a variant of computed X-ray tomography that is more suitable for examination of flat panels, appears promising. Also by means of OCT, depth resolved imaging appears possible, albeit in materials that retain a certain transparency. By means of infrared radiation, either in the NIR or in the MIR ranges, camera-based or scanning based reflection mode imaging can be performed. The information obtained in this manner is often complementary to that obtained by means of the X-ray based methods. The combined use of MA-XRF/XRD scanning with NIR/MIR hyperspectral imaging or MA-rFTIR scanning appears to be a very promising new direction for non-invasive imaging of paintings.
The authors acknowledge support from the Hercules fund, Brussels (grant A11/0387), BELSPO (Brussels) through project S2-ART (SD04A) and FWO (Brussels) via grant G.0C12.13. Support was also received from NWO (Den Haag) via the Science4Art programme. Additionally the University of Antwerp Research council in acknowledged for granting a PhD scholarship to S.L. The authors are indebted to the staff of the Groeninge museum for their assistance with the MAXRF measurements.
- Cotte M, Susini J, Dik J, Janssens K: Synchrotron-Based X-ray Absorption Spectroscopy for Art Conservation: Looking Back and Looking Forward. Acc Chem Res. 2010, 43: 705-714.View ArticleGoogle Scholar
- Janssens K, Dik J, Cotte M, Susini J: Photon-based techniques for nondestructive subsurface analysis of painted cultural heritage artifacts. Acc Chem Res. 2010, 43: 814-825.View ArticleGoogle Scholar
- Janssens K, Alfeld M, Van der Snickt G, De Nolf W, Vanmeert F, Radepont M, Monico L, Dik J, Cotte M, Falkenberg G, Miliani C, Brunetti BG: The use of synchrotron radiation for the characterization of artists’ pigments and paintings. Annu Rev Anal Chem. 2013, 6: 399-425.View ArticleGoogle Scholar
- Alfeld M, Broekaert JAC: Mobile depth profiling and sub-surface imaging techniques for historical paintings - A review. Spectrochim Acta B At Spectrosc. 2013, 88: 211-230.View ArticleGoogle Scholar
- Liang H: Advances in multispectral and hyperspectral imaging for archaeology and art conservation. Appl Phys A Mater Sci Process. 2012, 106: 309-323.View ArticleGoogle Scholar
- Janssens K, Adams F, Rindby A: Microscopic X-ray fluorescence analysis. 2000, Chichester, UK: John Wiley & SonsGoogle Scholar
- Beckhoff B, Kanngiesser B, Langhoff N, Rainer W, Helmut W: Handbook of Practical X-Ray Fluorescence Analysis. 2006, Berlin, Heidelberg, Germany: Springer VerlagView ArticleGoogle Scholar
- Lahanier C, Amsel G, Heitz C, Menu M, Andersen HH: Proceedings of the International Workshop on Ion-Beam Analysis in the Arts and Archaeology - Pont-A-Mousson, Abbaye des Premontres, France, February 18–20, 1985 - Editorial. Nucl Instrum Methods Phys Res B Beam Interact Mater Atoms. 1986, 14: R7-R8.Google Scholar
- Van Grieken R, Markowicz A: Handbook of X-ray Spectrometry. 2002, New York, USA: Marcel DekkerGoogle Scholar
- Dik J, Janssens K, Van der Snickt G, van der Loeff L, Rickers K, Cotte M: Visualization of a lost painting by Vincent van Gogh using synchrotron radiation based X-ray fluorescence elemental mapping. Anal Chem. 2008, 80: 6436-6442.View ArticleGoogle Scholar
- Dik J, Alfeld M, Janssens K, van de Wetering E: Nouveau type d’examen aux rayons x d’un Rembrandt dissimule. Un Nouveau regard sur Rembrandt. Edited by: van de Wetering E. 2009, Amsterdam, The Netherlands: Local WorldGoogle Scholar
- Alfeld M, Janssens K, Appel K, Thijsse B, Blaas J, Dik J: A portrait by Philipp Otto Runge - visualizing modifications to the painting using synchrotron-based X-ray fluorescence elemental scanning. Zeitschrift für Kunsttechnologie und Konservierung. 2011, 25: 157-163.Google Scholar
- Struick van der Loeff L, Alfeld M, Meedendorp T, Dik J, Hendriks E, van der Snickt G, Janssens K, Chavannes M: Rehabilitation of a flower still life in the Kröller-Müller Museum and a lost Antwerp painting by Van Gogh. Van Gogh: New Findings. Edited by: van Tilborgh L. 2012, Amsterdam, The Netherlands: Van Gogh MuseumGoogle Scholar
- Alfeld M, Van der Snickt G, Vanmeert F, Janssens K, Dik J, Appel K, van der Loeff L, Chavannes M, Meedendorp T, Hendriks E: Scanning XRF investigation of a Flower Still Life and its underlying composition from the collection of the Kroller-Muller Museum. Appl Phys A Mater Sci Process. 2013, 111: 165-175.View ArticleGoogle Scholar
- Howard DL, de Jonge MD, Lau D, Hay D, Varcoe-Cocks M, Ryan CG, Kirkham R, Moorhead G, Paterson D, Thurrowgood D: High-definition x-ray fluorescence elemental mapping of paintings. Anal Chem. 2012, 84: 3278-3286.View ArticleGoogle Scholar
- Hocquet FP, del Castillo HC, Xicotencatl AC, Bourgeois C, Oger C, Marchal A, Clar M, Rakkaa S, Micha E, Strivay D: Elemental 2D imaging of paintings with a mobile EDXRF system. Anal Bioanal Chem. 2011, 399: 3109-3116.View ArticleGoogle Scholar
- Bull D, Krekeler A, Alfeld M, Dik J, Janssens K: An intrusive portrait by Goya. Burlingt Mag. 2011, 153: 668-673.Google Scholar
- Alfeld M, Janssens K, Dik J, de Nolf W, van der Snickt G: Optimization of mobile scanning macro-XRF systems for the in situ investigation of historical paintings. J Anal At Spectrom. 2011, 26: 899-909.View ArticleGoogle Scholar
- Alfeld M, Pedroso JV, Hommes MV, Van der Snickt G, Tauber G, Blaas J, Haschke M, Erler K, Dik J, Janssens K: A mobile instrument for in situ scanning macro-XRF investigation of historical paintings. J Anal At Spectrom. 2013, 28: 760-767.View ArticleGoogle Scholar
- Dooryhee E, Anne M, Bardies I, Hodeau JL, Martinetto P, Rondot S, Salomon J, Vaughan GBM, Walter P: Non-destructive synchrotron X-ray diffraction mapping of a Roman painting. Appl Phys A Mater Sci Process. 2005, 81: 663-667.View ArticleGoogle Scholar
- De Nolf W, Dik J, Vandersnickt G, Wallert A, Janssens K: High energy X-ray powder diffraction for the imaging of (hidden) paintings. J Anal At Spectrom. 2011, 26: 910-916.View ArticleGoogle Scholar
- Ferreira ESB, Boon JJ, van der Horst J, Scherrer NC, Marone F, Stampanoni M: 3D Synchrotron X-Ray Microtomography of Paint Samples. O3a: Optics for Arts, Architecture, and Archaeology, Proceedings SPIE 7391. Edited by: Pezzati L, Salimbeni R. 2009, Bellingham, WA, USA: Int. Soc. for Optical EngineeringGoogle Scholar
- De Nolf W, Janssens K: Micro X-ray diffraction and fluorescence tomography for the study of multilayered automotive paints. Surf Interface Anal. 2010, 42: 411-418.View ArticleGoogle Scholar
- Mass JL, Woll A, Bisulca C: Confocal X-ray fluorescence of paintings: Imaging a missing NC Wyeth. Abstr Pap Am Chem Soc. 2009, 238: 1-Google Scholar
- Mass J, Bisulca C: Revealed, a Lost Illustration by N.C. Wyeth. Antiques and Fine Art. Summer/Autumn 2010 ed. 2010, Watertown, MA, USA: Pure Imaging IncGoogle Scholar
- Zhang X, Blaas J, Botha C, Reischig P, Bravin A, Dik J: Process for the 3D virtual reconstruction of a microcultural heritage artifact obtained by synchrotron radiation CT technology using open source and free software. J Cult Herit. 2012, 13: 221-225.View ArticleGoogle Scholar
- Helfen L, Baumbach T, Cloetens P, Baruchel J: Phase-contrast and holographic computed laminography. Appl Phys Lett. 2009, 94: 104103-View ArticleGoogle Scholar
- Helfen L, Baumbach T, Mikulik P, Kiel D, Pernot P, Cloetens P, Baruchel J: High-resolution three-dimensional imaging of flat objects by synchrotron-radiation computed laminography. Appl Phys Lett. 2005, 86: 071915-View ArticleGoogle Scholar
- Helfen L, Xu F, Suhonen H, Cloetens P, Baumbach T: Laminographic Imaging Using Synchrotron Radiation - Challenges and Opportunities. Proceedings 11th International Conference on Synchrotron Radiation Instrumentation. Edited by: Susini J, Dumas P. 2013Google Scholar
- Krug K, Porra L, Coan P, Wallert A, Dik J, Coerdt A, Bravin A, Elyyan M, Reischig P, Helfen L, Baumbach T: Relics in medieval altarpieces? Combining X-ray tomographic, laminographic and phase-contrast imaging to visualize thin organic objects in paintings. J Synchrotron Radiat. 2008, 15: 55-61.View ArticleGoogle Scholar
- Dik J, Reischig P, Krug K, Wallert A, Coerdt A, Helfen L, Baumbach T: Three-dimensional imaging of paint layers and paint substructures with synchrotron radiation computed mu-laminography. J Am Inst Conserv. 2009, 48: 185-197.View ArticleGoogle Scholar
- Reischig P, Helfen L, Wallert A, Baumbach T, Dik J: High-resolution non-invasive 3D imaging of paint microstructure by synchrotron-based X-ray laminography. Appl Phys A Mater Sci Process. 2013, 111: 983-995.View ArticleGoogle Scholar
- Van Asperen de Boer J: Scientific Examination of Early Netherlandish Painting. An Introduction to the Scientific Examination of Paintings. Edited by: Filedt Koj JP. 1976, Bussum,The Netherlands: Fibula - van Dishoeck, 1-40.Google Scholar
- Liang H, Saunders D, Cupitt J: A new multispectral imaging system for examining paintings. J Imaging Sci Technol. 2005, 49: 551-562.Google Scholar
- Saunders D, Billinge R, Cupitt J, Atkinson N, Liang H: A new camera for high-resolution infrared imaging of works of art. Stud Conserv. 2006, 51: 277-290.View ArticleGoogle Scholar
- Daffara C, Pampaloni E, Pezzati L, Barucci M, Fontana R: Scanning multispectral IR reflectography SMIRR: an advanced tool for art diagnostics. Acc Chem Res. 2010, 43: 847-856.View ArticleGoogle Scholar
- Delaney JK, Zeibel JG, Thoury M, Littleton R, Palmer M, Morales KM, de la Rie ER, Hoenigswald A: Visible and Infrared imaging spectroscopy of Picasso’s Harlequin musician: mapping and identification of artist materials in Situ. Appl Spectrosc. 2010, 64: 584-594.View ArticleGoogle Scholar
- Thoury M, Delaney JK, Rene de la Rie E, Palmer M, Morales K, Krueger J: Near-infrared luminescence of cadmium pigments: in Situ identification and mapping in paintings. Appl Spectrosc. 2011, 65: 939-951.View ArticleGoogle Scholar
- Ricciardi P, Delaney JK, Facini M, Zeibel JG, Picollo M, Lomax S, Loew M: Near infrared reflectance imaging spectroscopy to map paint binders in Situ on illuminated manuscripts. Angewandte Chemie Int Ed. 2012, 51: 5607-5610.View ArticleGoogle Scholar
- Dooley KA, Lomax S, Zeibel JG, Miliani C, Ricciardi P, Hoenigswald A, Loew M, Delaney JK: Mapping of egg yolk and animal skin glue paint binders in Early Renaissance paintings using near infrared reflectance imaging spectroscopy. Analyst. 2013, 138: 4838-4848.View ArticleGoogle Scholar
- Muir K, Langley A, Bezur A, Casadio F, Delaney J, Gautier G: Scientifically investigating Picasso’s suspected use of Ripolin house paints in still life, 1922 and the red armchair, 1931. J Am Inst Conserv. 2012, 52: 156-172.View ArticleGoogle Scholar
- Rosi F, Miliani C, Braun R, Harig R, Sali D, Brunetti BG, Sgamellotti A: Noninvasive analysis of paintings by mid-infrared Hyperspectral imaging. Angewandte Chemie Int Ed. 2013, 52: 5258-5261.View ArticleGoogle Scholar
- Daffara C, Ambrosini D, Pezzati L, Mariotti PI: Mid-Infrared Reflectography for the Analysis of Pictorial Surface Layers in Artworks. Proceedings 3rd International Topical Meeting on Optical Sensing and Artificial Vision. Edited by: Gurov I. 2013, 68-75.Google Scholar
- Legrand S, Alfeld M, Vanmeert F, De Nolf W, Janssens K: Macroscopic reflection Fourier Transformed Mid-Infrared (MA-rFTIR) scanning, a new technique for in situ imaging of painted cultural heritage artifacts. Analyst. 2014, 139: 2489-2498.View ArticleGoogle Scholar
- Legrand S: Ontwikkeling van een macroscopische Mid-Infrarood scanner. 2012, Antwerp, Belgium: University of AntwerpGoogle Scholar
- Monico L, Janssens K, Miliani C, Brunetti BG, Vagnini M, Vanmeert F, Falkenberg G, Abakumov A, Yinggang L, Tian H, Verbeeck J, Radepont M, Cotte M, Hendriks E, Geldof M, Van der Loeff L, Salvant J, Menu M: The Degradation Process of Lead Chromate in paintings by Vincent van Gogh studied by means of Spectromicroscopic methods. 3: Synthesis, characterization and detection of different crystal forms of the chrome yellow pigment. Anal Chem. 2012, 85: 851-859.View ArticleGoogle Scholar
- Liang H, Cid MG, Cucu RG, Dobre GM, Podoleanu AG, Pedro J, Saunders D: En-face optical coherence tomography - a novel application of non-invasive imaging to art conservation. Opt Express. 2005, 13: 6133-6144.View ArticleGoogle Scholar
- Liang H, Peric B, Hughes M, Podoleanu A, Spring M, Saunders D: Optical Coherence Tomography for Art Conservation and Archaeology. O3a: Optics for Arts, Architecture, and Archaeology, Proceedings of the SPIE 6618. 2007, 05-12.Google Scholar
- Targowski P, Iwanicka M, Tyminska-Widmer L, Sylwestrzak M, Kwiatkowska EA: Structural examination of easel paintings with optical coherence tomography. Acc Chem Res. 2010, 43: 826-836.View ArticleGoogle Scholar
- Targowski P, Iwanicka M, Sylwestrzak M, Kaszewska EA, Frosinini C: OCT Structural Examination of ‘Madonna dei Fusi’ by Leonardo da Vinci. Optics for Arts, Architecture, and Archaeology IV, Proceedings of the SPIE 8790. Edited by: Pezzati L, Targowski P. 2013Google Scholar
- Targowski P, Iwanicka M: Optical Coherence Tomography: its role in the non-invasive structural examination and conservation of cultural heritage objects-a review. Appl Phys A Mater Sci Process. 2012, 106: 265-277.View ArticleGoogle Scholar
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