Page under construction

Uplands in Lorne is a landscape painting by David Young Cameron (1865-1945) of the Lorne area of the Scottish Highlands (Argyll and Bute). This case study highlights selected results from our analysis of regions of the painting using the PISTACHIO imager – click on each region to learn more.

Uplands in Lorne, by David Young Cameron (1865-1945), painting, oil on panel, Hunterian Art Gallery, University of Glasgow, GLAHA43427; shown with rulers to illustrate the dimensions

Uplands in Lorne, by David Young Cameron (1865-1945), painting, oil on panel, Hunterian Art Gallery, University of Glasgow, acquisition no. GLAHA43427 (rulers shown to illustrate dimensions)

Enhancing Variations in the Composition

The raw data cube obtained using the PISTACHIO imager contains data across the spectral range of acquisition (from 700 to 1400 cm^-1 ). Single-wavelength images can be analysed separately, for example to enhance variations in the composition.

Detail showing the region selected for slice analysis from Uplands in Lorne, by David Young Cameron (1865-1945), painting, oil on panel, Hunterian Art Gallery, University of Glasgow, GLAHA43427

Slice data at 1185 cm-1, which should be typical of oil, for a selected region from Uplands in Lorne, an oil on panel painted by David Young Cameron. This region demonstrates variation in the composition of the mountain landscape in the painting by including elements of sky, a tall mountain the background, and smaller hills in the foreground.

Slice data at 1185 cm^-1, which should be typical of oil, for a selected region from Uplands in Lorne, oil on panel, by D. Y. Cameron. This region demonstrates variation in composition of the mountain landscape in the painting by including elements of sky, a tall mountain in the background, and smaller hills in the foreground.

Identifying the Distribution of Compounds

Detail showing the region selected for cluster analysis from Uplands in Lorne, by David Young Cameron (1865-1945), painting, oil on panel, Hunterian Art Gallery, University of Glasgow, GLAHA43427

False-colour image illustrating the cluster assigned using principal component analysis (PCA) at each spatial location in the selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron

Principal component analysis (PCA) of spectral features can identify clusters that may be representative of different pigment mixtures. Interpretation combines the hyperspectral data with other information such as XRF data.

Cluster 1 – titanium-zinc white
Cluster 3 – lead white
Cluster 4 – ochre; lead white
Cluster 5 – blue cobalt-based pigment

Principal components analysis (PCA) plot of the data obtained for a selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron. Clustering based on spectral features is indicated by the colour assigned to the data points. — PCA plot for the area, with clustering based on spectral features indicated by the colour assigned to the data points

Spectrum showing the mean and standard deviation for cluster 1 identified using principal components analysis (PCA) of the data obtained for a selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron — Spectrum showing the mean and standard deviation for cluster 1

No graph available as the cluster represents a spectrum with high noise

Spectrum showing the mean and standard deviation for cluster 3 identified using principal components analysis (PCA) of the data obtained for a selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron — Spectrum showing the mean and standard deviation for cluster 3

Spectrum showing the mean and standard deviation for cluster 4 identified using principal components analysis (PCA) of the data obtained for a selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron — Spectrum showing the mean and standard deviation for cluster 4

Spectrum showing the mean and standard deviation for cluster 5 identified using principal components analysis (PCA) of the data obtained for a selected area of mountain landscape from Uplands in Lorne, an oil on panel painted by David Young Cameron — Spectrum showing the mean and standard deviation for cluster 5

Cluster data based on principal component analysis for a selected region from Uplands in Lorne, oil on panel, by D. Y. Cameron. This includes the PCA plot, and spectra showing the mean and standard deviation for each individual cluster.

Text and images for slice analysis

Text and images for cluster analysis