Rossetto‐Harris G, Stiles E, Wilf P, Donovan MP, Zou X. Rapid character scoring and tabulation of large leaf-image libraries using Adobe Bridge.
APPLICATIONS IN PLANT SCIENCES 2022;
10:e11500. [PMID:
36518947 PMCID:
PMC9742824 DOI:
10.1002/aps3.11500]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/23/2022] [Accepted: 05/12/2022] [Indexed: 05/20/2023]
Abstract
Premise
Digital image libraries are an integral part of specimen-based research. However, coding and extracting metadata for hundreds of specimens on a personal computer can be complex. In addition, most existing workflows require downsampling or platform switching and do not link character data directly to the images.
Methods and Results
We demonstrate a method to code and embed into images the standard leaf architecture and insect-damage characters that are widely used in paleobotany. Using the visual file browser Adobe Bridge, customizable and searchable keywords can be applied directly and reversibly to individual full-resolution images, and the data can be extracted and formatted into a matrix using scripts.
Conclusions
Our approach is intuitive and acts as a digital mimic and complement to the experience of sorting and analyzing specimens in-person. Keywords can be easily customized for other data types that require visual sorting using image libraries.
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