Evidence map›Paper›PMID 42030288›Full record

ArticlePloS one2026

Digitizing microscope slide-based natural history collections: A protocol using slide scanner technology.

Ingrid C Romero, Scott L Wing, Carlos A Jaramillo, Holly Little, Surangi W Punyasena, Alexander E White

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ingrid C RomeroDepartment of Paleobiology, Smithsonian National Museum of Natural History, Washington, District of Columbia, United States of America.ORCID https://orcid.org/0000-0003-1376-5830
Scott L WingDepartment of Paleobiology, Smithsonian National Museum of Natural History, Washington, District of Columbia, United States of America.
Carlos A JaramilloSmithsonian Tropical Research Institute, PanamaPanama.
Holly LittleDepartment of Paleobiology, Smithsonian National Museum of Natural History, Washington, District of Columbia, United States of America.
Surangi W PunyasenaDepartment of Plant Biology, University of Illinois Urbana-Champaign, Urbana-Champaign, Illinois, United States of America.
Alexander E WhiteSmithsonian Office of Digital and Innovation, Washington, District of Columbia, United States of America.ORCID https://orcid.org/0000-0002-9708-2406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural history collections contain millions of microscope slides documenting global microscopic biodiversity, yet these materials remain largely undigitized and are vulnerable to deterioration and loss. Recent advances in slide scanner technology, originally developed for medical pathology, offer new opportunities for comprehensive digitization of slide-based collections. Here we present an optimized protocol for digitizing diverse microscope slide specimens, using the Hamamatsu NanoZoomer S20 slide scanner, developed while imaging slides at the Smithsonian National Museum of Natural History. We provide specimen-specific recommendations for scanning parameters, including scan area, focal points, Z-stack configuration, and file management workflows. Scanning times range from 41 seconds for small invertebrates to 18 minutes for palynological samples, with final compressed file sizes of 0.15-28 GB. High-resolution images (0.23 μm/pixel) captured diagnostic morphological features across all specimen types, including pollen, diatoms, radiolarians, plant and fungi tissues, and invertebrates. Using this method, we estimated that just the NMNH's paleo-palynology slide collection contains approximately 4.3 billion individual specimens, 30 times more than the current estimated size of the entire NMNH collection. Slide scanning enables 3D data capture, facilitates remote collaboration, improves reproducibility of taxonomic identifications, and creates permanent digital records that mitigate risks of physical deterioration. This protocol provides practical guidance for institutions looking to digitize slide-based collections to preserve and unlock their full research potential.

Indexed as

Image Processing, Computer-AssistedMicroscopyNatural HistoryAnimalsMuseums

Identifiers

PMID42030288
PMCPMC13108749

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.