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Designing a High-Throughput Pipeline for Digitizing Pinned Insects

https://doi.org/10.1109/escience.2017.88

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/acpr.2015.7486504openalex-snapshot

Text line extraction of curved document images using hybrid metric

inferredcites →https://doi.org/10.1109/cvpr.2005.163openalex-snapshot

Flattening Curved Documents in Images

inferredcites →https://doi.org/10.1109/cvpr.2011.5995540openalex-snapshot

Rectification and 3D reconstruction of curved document images

inferredcites →https://doi.org/10.1109/iccv.2015.447openalex-snapshot

Extraction of Virtual Baselines from Distorted Document Images Using Curvilinear Projection

inferredcites →https://doi.org/10.1371/journal.pone.0094346openalex-snapshot

Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics

inferredcites →https://doi.org/10.1371/journal.pone.0108670openalex-snapshot

Foxp3 Expression in Macrophages Associated with RENCA Tumors in Mice

inferredcites →https://doi.org/10.1371/journal.pone.0143402openalex-snapshot

Inselect: Automating the Digitization of Natural History Collections

inferredcites →https://doi.org/10.17161/bi.v7i2.3991openalex-snapshot

Approaches to estimating the universe of natural history collections data

inferredcites →https://doi.org/10.5281/zenodo.1252811openalex-snapshot

Preserving Natural Science Collections: Chronicle Of Our Environmental Heritage

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.3897/zookeys.1264.134756zenodo-depositor-declared

A digitization workflow of dry-pinned collections of Lepidoptera

inferred← citeshttps://doi.org/10.1002/njz2.70063openalex-snapshot

See No Weevil: Dark Data Patterns in Repositories and Their Implications for Conservation Planning

inferred← citeshttps://doi.org/10.1016/b978-0-12-821053-6.00012-6openalex-snapshot

Sample digitization techniques for bio-inspired engineering

inferred← citeshttps://doi.org/10.1101/2020.03.31.018812openalex-snapshot

Schrödinger’s phenotypes: herbarium specimens show two-dimensional images are both good and (not so) bad sources of morphological data

inferred← citeshttps://doi.org/10.1101/2025.05.22.655251openalex-snapshot

InsectMorphoAI: A Deep Learning-Based Software for Automated Estimation of Insect Length, Volume, and Biomass

inferred← citeshttps://doi.org/10.1101/605071openalex-snapshot

Research applications of primary biodiversity databases in the digital age

inferred← citeshttps://doi.org/10.1109/dicta60407.2023.00031openalex-snapshot

Towards End-to-End Automatic Insect Handling and Insect Scanning

inferred← citeshttps://doi.org/10.1111/2041-210x.13450openalex-snapshot

Schrödinger's phenotypes: Herbarium specimens show two‐dimensional images are both good and (not so) bad sources of morphological data

inferred← citeshttps://doi.org/10.1371/journal.pone.0215794openalex-snapshot

Research applications of primary biodiversity databases in the digital age

inferred← citeshttps://doi.org/10.31219/osf.io/s2p73openalex-snapshot

ALICE: Angled Label Image Capture and Extraction for high throughput insect specimen digitisation

inferred← citeshttps://doi.org/10.3897/biss.3.37228openalex-snapshot

LightningBug ONE: An experiment in high-throughput digitization of pinned insects

inferred← citeshttps://doi.org/10.3897/biss.3.38260openalex-snapshot

Automated Methods in Digitisation of Pinned Insects

inferred← citeshttps://doi.org/10.3897/rio.6.e54280openalex-snapshot

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

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