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Art conservation in a Digital Age
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Digital Photography
Capturing high-resolution images for condition documentation
Multispectral Imaging
Analyzing layers of paint and underdrawings not visible to the naked eye
3D Laser Scanning
Creating detailed three-dimensional models for analysis and replication
Digital X-ray Imaging
Examining internal structures and detecting subsurface anomalies or restorations
Infrared Reflectography
Visualizing underdrawings and changes during the creative process
Ultraviolet Fluorescence
Identifying varnish layers and previous restorations
Digital Microscopy
Examining surface texture and minute details at a high magnification
Infrared Thermography
Detecting underlying defects or delamination in composite art materials
Hyperspectral Imaging
Characterizing materials and identifying pigments based on their spectral signature
Reflectance Transformation Imaging (RTI)
Documenting surface relief and texture by varying light conditions
Digital Ultraviolet Mapping
Mapping areas of degradation and evaluating the condition of fluorescent materials
Computed Tomography (CT)
Creating cross-sectional images to analyze internal structures without damage
Photogrammetry
Constructing precise 3D models from photographs for conservation documentation
Digital Colorimetry
Quantifying color for monitoring fading and discoloration over time
Environmental Monitoring Sensors
Continuously measuring environmental conditions to prevent deterioration
Corrosion Analysis Software
Predicting and assessing metal corrosion to guide preservation efforts
Vibration Analysis Tools
Detecting and monitoring mechanical stresses to prevent damage during transport
Virtual Reality (VR)
Creating immersive experiences for public engagement and education in conservation
Artificial Intelligence (AI)
Assisting in condition assessment and predicting deterioration patterns
Digital Data Repositories
Storing and sharing large datasets for collaboration and historical record-keeping
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