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Art conservation in a Digital Age

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Digital Photography

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Capturing high-resolution images for condition documentation

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Environmental Monitoring Sensors

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Continuously measuring environmental conditions to prevent deterioration

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Digital X-ray Imaging

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Examining internal structures and detecting subsurface anomalies or restorations

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Ultraviolet Fluorescence

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Identifying varnish layers and previous restorations

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Infrared Reflectography

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Visualizing underdrawings and changes during the creative process

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Infrared Thermography

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Detecting underlying defects or delamination in composite art materials

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3D Laser Scanning

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Creating detailed three-dimensional models for analysis and replication

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Reflectance Transformation Imaging (RTI)

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Documenting surface relief and texture by varying light conditions

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Computed Tomography (CT)

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Creating cross-sectional images to analyze internal structures without damage

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Photogrammetry

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Constructing precise 3D models from photographs for conservation documentation

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Vibration Analysis Tools

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Detecting and monitoring mechanical stresses to prevent damage during transport

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Digital Microscopy

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Examining surface texture and minute details at a high magnification

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Hyperspectral Imaging

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Characterizing materials and identifying pigments based on their spectral signature

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Digital Data Repositories

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Storing and sharing large datasets for collaboration and historical record-keeping

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Virtual Reality (VR)

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Creating immersive experiences for public engagement and education in conservation

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Multispectral Imaging

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Analyzing layers of paint and underdrawings not visible to the naked eye

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Corrosion Analysis Software

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Predicting and assessing metal corrosion to guide preservation efforts

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Digital Ultraviolet Mapping

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Mapping areas of degradation and evaluating the condition of fluorescent materials

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Digital Colorimetry

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Quantifying color for monitoring fading and discoloration over time

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Artificial Intelligence (AI)

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Assisting in condition assessment and predicting deterioration patterns

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