Jackson Pollock’s Number 1A, 1948: a non-invasive study using macro-x-ray fluorescence mapping (MA-XRF) and multivariate curve resolution-alternating least squares (MCR-ALS) analysis

Jackson Pollock’s Number 1A, 1948 painting was investigated using in situ scanning macro-x-ray fluorescence mapping (MA-XRF) to help characterize the artist’s materials and his creative process. A multivariate curve resolution-alternating least squares (MCR-ALS) approach was used to examine the hyperspectral data and obtain distribution maps and signature spectra for the paints he used. The composition of the paints was elucidated based on the chemical elements identified in the signature spectra and a tentative list of pigments, fillers and other additives is proposed for eleven different paints and for the canvas. The paint distribution maps were used to virtually reconstruct the artist process and document the sequence and manner in which Pollock applied the different paints, using deliberate and specific gestures.

[1]  Julian Morris,et al.  Curve resolution for multivariate images with applications to TOF-SIMS and Raman , 2004 .

[2]  Michael Schilling,et al.  A TECHNICAL INVESTIGATION OF PAINTS USED BY JACKSON POLLOCK IN HIS DRIP OR POURED PAINTINGS , 2004 .

[3]  Romà Tauler,et al.  Multivariate Curve Resolution (MCR). Solving the mixture analysis problem , 2014 .

[4]  G. Lerario,et al.  Imaging, photophysical properties and DFT calculations of manganese blue (barium manganate(VI) sulphate)--a modern pigment. , 2014, Chemical communications.

[5]  Age K. Smilde,et al.  Principal Component Analysis , 2003, Encyclopedia of Machine Learning.

[6]  Koen Janssens,et al.  Strategies for processing mega-pixel X-ray fluorescence hyperspectral data: a case study on a version of Caravaggio's painting Supper at Emmaus , 2015 .

[7]  Costanza Miliani,et al.  Noninvasive analysis of paintings by mid-infrared hyperspectral imaging. , 2013, Angewandte Chemie.

[8]  E. Bouwman,et al.  The oxidative drying of alkyd paint catalysed by metal complexes , 2005 .

[9]  E. Hendriks,et al.  Scanning XRF investigation of a Flower Still Life and its underlying composition from the collection of the Kröller–Müller Museum , 2013 .

[10]  L. Pappalardo,et al.  Identification of forgeries in historical enamels by combining the non-destructive scanning XRF imaging and alpha-PIXE portable techniques , 2016 .

[11]  W. Windig,et al.  Two-Way Data Analysis: Detection of Purest Variables , 2020, Comprehensive Chemometrics.

[12]  Koen Janssens,et al.  Visualizing the 17th century underpainting in Portrait of an Old Man by Rembrandt van Rijn using synchrotron-based scanning macro-XRF , 2013 .

[13]  Gene H. Golub,et al.  Singular value decomposition and least squares solutions , 1970, Milestones in Matrix Computation.

[14]  D. Bright,et al.  Maximum pixel spectrum: a new tool for detecting and recovering rare, unanticipated features from spectrum image data cubes , 2004, Journal of microscopy.

[15]  Joris Dik,et al.  Piet Mondrian’s Broadway Boogie Woogie: non invasive analysis using macro X-ray fluorescence mapping (MA-XRF) and multivariate curve resolution-alternating least square (MCR-ALS) , 2016, Heritage Science.

[16]  Frank L. Fisher,et al.  Iron oxide pigments , 1969 .

[17]  C. McGlinchey Handheld XRF for the examination of paintings:: proper use and limitations , 2013 .

[18]  V. Otieno-Alego,et al.  Micro-Raman Identification of Bloom Formed on a Historical Print Artifact , 2001 .

[19]  Paola Ricciardi,et al.  Mapping of egg yolk and animal skin glue paint binders in Early Renaissance paintings using near infrared reflectance imaging spectroscopy. , 2013, The Analyst.

[20]  G. Buxbaum Industrial inorganic pigments , 1998 .

[21]  Mathieu Thoury,et al.  Visible and Infrared Imaging Spectroscopy of Picasso's Harlequin Musician: Mapping and Identification of Artist Materials in Situ , 2010, Applied spectroscopy.

[22]  Polonca Ropret,et al.  Advances in Raman mapping of works of art , 2010 .

[23]  Tom Learner,et al.  Modern paints uncovered , 2007 .

[24]  Koen Janssens,et al.  Macroscopic Fourier transform infrared scanning in reflection mode (MA-rFTIR), a new tool for chemical imaging of cultural heritage artefacts in the mid-infrared range. , 2014, The Analyst.

[25]  Michael R. Keenan,et al.  Optimal scaling of TOF-SIMS spectrum-images prior to multivariate statistical analysis , 2004 .

[26]  Koen Janssens,et al.  Visualization of a lost painting by Vincent van Gogh using synchrotron radiation based X-ray fluorescence elemental mapping. , 2008, Analytical chemistry.

[27]  Klaus Hunger,et al.  Industrial Organic Pigments: Production, Properties, Applications , 1997 .

[28]  R. Bro,et al.  A fast non‐negativity‐constrained least squares algorithm , 1997 .

[29]  Francesca Cappitelli,et al.  THM-GCMS and FTIR for the study of binding media in Yellow Islands by Jackson Pollock and Break Point by Fiona Banner , 2004 .

[30]  Jay W. Krueger,et al.  Issues in Contemporary Oil Paint , 2014 .

[31]  P. Gemperline,et al.  Advantages of soft versus hard constraints in self-modeling curve resolution problems. Alternating least squares with penalty functions. , 2003, Analytical chemistry.

[32]  M. Keenan,et al.  Simplification of alternating least squares solutions with contrast enhancement , 2012 .

[33]  N. Eastaugh,et al.  The pigment compendium: optical microscopy of historical pigments , 2004 .

[34]  Koen Janssens,et al.  A mobile instrument for in situ scanning macro-XRF investigation of historical paintings , 2013 .

[35]  Koen Janssens,et al.  High energy X-ray powder diffraction for the imaging of (hidden) paintings , 2011 .

[36]  Christian Bauckhage,et al.  Non-negative factor analysis supporting the interpretation of elemental distribution images acquired by XRF , 2014 .

[37]  I. Fiedler,et al.  Cadmium yellows, oranges and reds , 1986 .

[38]  M. D. de Jonge,et al.  High-definition X-ray fluorescence elemental mapping of paintings. , 2012, Analytical chemistry.