4.1 Article

RESEARCH REPORT GIGAPIXEL MACRO PHOTOGRAPHY OF TREE RINGS

Journal

TREE-RING RESEARCH
Volume 77, Issue 2, Pages 86-94

Publisher

TREE-RING SOC
DOI: 10.3959/TRR2021-3

Keywords

digitization; archiving; curation; data development; computational photography; quantitative wood anatomy

Categories

Funding

  1. UMN Office of the Vice Provost for Research
  2. UMN Office of Undergraduate Research
  3. UMN College of Liberal Arts
  4. UMNLiberal Arts Technologies & Innovation Services
  5. NSF DEB [1655144]
  6. NSF AGS [1602633, 1903504]
  7. Directorate For Geosciences
  8. Div Atmospheric & Geospace Sciences [1602633, 1903504] Funding Source: National Science Foundation
  9. Division Of Environmental Biology
  10. Direct For Biological Sciences [1655144] Funding Source: National Science Foundation

Ask authors/readers for more resources

High quality specimen digitization is crucial for natural history collections and dendrochronology. Gigapixel macro photography can offer a cost-effective alternative for digitization, providing high-quality images for analysis and education. Elevating imaging standards in dendrochronology through accessible and adaptable paradigms like gigapixel macro photography is essential.
High quality specimen digitization is becoming standard across the sciences, is relevant for curation of natural history collections, and must become a priority for dendrochronology. This paper overviews the enduring role of imaging in dendrochronology, summarizes the potential relevance of gigapixel macro photography of polished specimens, offers a long-term review of a commercial imaging system, and reports our progress imaging entire collections of specimens at ultra-high resolution. Our gigapixel images of polished specimens have proven effective for digital analyses, archiving, and education, and we believe macro photography may prove a lower cost and more broadly accessible digitization alternative to microtomy and X-rays. We advocate for gigapixel macro photography as one accessible and adaptable paradigm to elevate reflected light imaging standards in dendrochronology.

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