研究目的
To understand how two paintings were painted on a single panel by Rembrandt Harmensz van Rijn, specifically focusing on the sequence of painting in both compositions and the techniques used to obscure the underlying image.
研究成果
The combined use of hyperspectral reflectance imaging, XRF mapping, and cross-sectional analysis provided a comprehensive understanding of Rembrandt's working process on the panel. The study revealed evidence of multiple attempts to position the underlying figure and the application of a blocking-out layer before painting the upper figure. This insight into Rembrandt's technique highlights the thoughtful and precise approach he took in reusing the panel for a new composition.
研究不足
The study was limited by the restricted palette used by Rembrandt, making it challenging to distinguish between layers based solely on elemental composition. Additionally, the thickness and composition of the blocking-out layer varied across the painting, complicating the interpretation of infrared reflectance imaging results.
1:Experimental Design and Method Selection:
The study employed infrared reflectance imaging spectroscopy (hyperspectral imaging) and macro-XRF imaging spectroscopy, along with cross-sectional analysis of targeted areas.
2:Sample Selection and Data Sources:
Samples were taken from the edges of existing damages around the perimeter of the painting.
3:List of Experimental Equipment and Materials:
Equipment included a Bruker M6 Jetstream scanning XRF spectrometer, a modified NIR imaging spectrometer (SOC720 Surface Optics Corp), and a Leica DM4000 microscope for cross-section analysis.
4:Experimental Procedures and Operational Workflow:
The painting was scanned using XRF and hyperspectral imaging to map the distribution of elements and visualize underlying layers. Cross-sections were analyzed under visible light, UV-induced visible fluorescence, and SEM-EDS for elemental composition.
5:Data Analysis Methods:
Data processing included energy channel calibration and spectral fitting for XRF data, and spectral angle mapper algorithm for hyperspectral data.
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