Skip to content

Entomolabels: a flexible tool for designing, standardising and printing labels for biological collections

Jul 2026 · Journal of Natural History · Vol 60, pp. 1535 - 1551 · 0 citations · 24 references

TL;DR

The software has been applied across diverse biological collections and labelling scenarios, demonstrating its utility as a practical and accessible solution for researchers, curators, collection managers and private collectors seeking to standardise and streamline specimen label production.

Abstract

ABSTRACT Labels are essential components of biological collections, preserving specimen-associated metadata required for identification, curation, reuse and long-term scientific use. Despite their importance, label production often relies on general-purpose software or specialised workflows that can be difficult to standardise, time-consuming, or inaccessible to users without programming expertise. As digitisation efforts expand, there is a growing need for flexible and reproducible label-production tools. Here we present EntomoLabels, a free Windows desktop application developed to support the design and batch production of labels for biological collections. Originally created for entomological collections, where labels are typically small and highly standardised, the software can be adapted to a broad range of specimen types and collection workflows. Users can define label dimensions and layout, design labels using text fields, tags, lines, frames, images and machine-readable codes, and generate batches of labels from structured comma-separated values (CSV) files. Additional features include adjustable label and page dimensions, Unicode support, reusable templates, automatic serial numbering and generation of both one-dimensional and two-dimensional barcodes. Representative applications demonstrated here include compact entomological pin labels, barcode identifier labels, herbarium labels, labels for fluid-preserved specimens, tissue or DNA tubes, double-sided study-skin tags, storage-box labels and slide-mounted specimens. By separating label design from specimen, EntomoLabels promotes repeatable workflows, reduces formatting inconsistencies and facilitates integration between physical specimens and digital collection records. Unlike many existing label-production approaches that depend on scripts, databases or barcode-centred workflows, EntomoLabels emphasises visual label composition through an interactive graphical interface, allowing users to directly control layout and printing without requiring programming skills. The software has been applied across diverse biological collections and labelling scenarios, demonstrating its utility as a practical and accessible solution for researchers, curators, collection managers and private collectors seeking to standardise and streamline specimen label production.

View source

Similar papers

Review Open access Aug 2026

BarnebyLives: An R package to create herbarium specimen labels and clean spreadsheets

The R package BarnebyLives was developed to assist collectors by supplementing collection notes, verifying taxonomic data, conducting quality checks, generating labels, and submitting digital records to significantly reduce the time and effort required to accession herbarium specimens in the United States.

Reed Clark Benkendorf, J. Fant · 0 citations
Preprint Aug 2026

Automated pipeline for herbarium label digitization

By automating the extraction of structured metadata from complex, heterogeneous labels, HERBIOME reduces transcription burden, enables the construction of paired image-text datasets that faithfully capture specimen individuality, which is a prerequisite for next-generation multimodal biodiversity AI systems.

Hiba Abbad, Hanane Ariouat, Eva Perez Pimparé et al. · 0 citations
Open access Jul 2026

A Modular, AI-assisted Digitization Toolkit for Resource-Constrained Herbaria: A Case Study from Zimbabwe

An AI-assisted modular digitization toolkit specifically designed for herbaria operating under limited funding, developed and refined through the experience digitizing the crop wild relative collection of the National Herbarium of Zimbabwe is described.

Langalenkosi Gatula, I. Bezrukov, Joseph Atemia et al. · 0 citations
Open access Jul 2026

From pixels to data: automated reconstruction of taxonomic series from whole-drawer images in historical insect collections

Natural history collections are structured knowledge systems in which taxonomic and historical information is embedded within specimens, labels and their physical arrangement. However, in large entomological collections, much of this information remains inaccessible because it is not captured in standardised digital fo...

Sneha Bhansali, Nikolai Ignatev, M. Simões · 0 citations
Preprint Aug 2026

Ten simple rules for non-visual, reproducible and accessible bioinformatics

Ten simple rules for non-visual bioinformatics are presented, covering plots as decision records, cautious use of AI-generated figure descriptions, accessible computing environments, text-first literate programming, structured data and metadata, compact object summaries, accessible publication formats, collaboration pr...

Jacqueline G. Kientsch, S. Neuhauss, I. Mallona · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.