BeeHive: A flexible open electronics platform for controlling research equipment and teaching electronics principles

BeeHive: A flexible open electronics platform for controlling research equipment and teaching electronics principles | SciELO Preprints window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-3TT8HYRH0Y'); Open Menu Registrar-se Acesso English Español Ir para o conteúdo principal Ir para o menu de navegação principal Ir para o rodapé Preprints Submissão Áreas do Conhecimento Ciências Agrárias Ciências Biológicas Ciências da Saúde Ciências Exatas e da Terra Ciências Humanas Ciências Sociais Aplicadas Engenharias Linguística, letras e artes Educação em Revista Memórias do Instituto Oswaldo Cruz 47º Encontro Anual da ANPOCS 48º Encontro Anual da ANPOCS 49º Encontro Anual da ANPOCS Sobre Sobre o Servidor Declaração de Privacidade Atualizações do Sistema Contato FAQ Ética no SciELO Preprints Avaliação de preprints Anotações em preprints (via Hypothesis) Avalie um preprint Notícias Início / Ciências Biológicas Preprint / Versão 1 BeeHive: A flexible open electronics platform for controlling research equipment and teaching electronics principles article.authors6a0cc1e3d83fb Ihor Sobianin University of Southampton, faculty of medicine, school of enterprise and innovation, Southampton, UK https://orcid.org/0000-0002-5444-602X Conceptualization Methodology Software Validation Writing – Original Draft Preparation Writing – Review & Editing Formal Analysis Mikkel Roald-Arbøl BIOB, Section 2, Animal Diversity, University of Bonn, Bonn, Germany https://orcid.org/0000-0002-9998-0058 Methodology Investigation Formal Analysis Writing – Original Draft Preparation Validation Visualization Data Curation Solomon Gitau Ngotho The Science and Technology Facilities Council, UK https://orcid.org/0009-0002-2206-8121 Methodology Software Validation Data Curation Lydia Ellison Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0004-8198-9398 Methodology Validation Visualization Data Curation Writing – Original Draft Preparation Sina Dominiak Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0002-6344-5683 Formal Analysis Data Curation Methodology Writing – Original Draft Preparation Shahd Al Balushi Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0009-5351-9707 Methodology Data Curation Writing – Original Draft Preparation Visualization Alejandra Carriero Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0003-0897-861X Data Curation Methodology Validation Writing – Original Draft Preparation Marcus Burnell Spector Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0000-8905-3034 Methodology Software Validation Writing – Original Draft Preparation Data Curation Eglantine Vignal Université Paris-Saclay, CEA, SRMA , Gif-sur-Yvette, France https://orcid.org/0009-0009-6080-1612 Investigation Methodology Visualization Carla Lemos Perinetti University of Amsterdam image/svg+xml https://orcid.org/0009-0007-9636-0666 Methodology Data Curation Software Cansu Demirbatir Department of Pharmacology, Near East University, Nicosia, Turkey Investigation Supervision Moira Eley School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0004-0998-9051 Methodology Supervision Writing – Review & Editing Maria Cozan Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0009-0002-0095-005X Investigation Writing – Original Draft Preparation Estelle Moubarak Marine Biological Section, Department of Biology, University of Copenhagen, Universitatesparken 4, 2100 Copenhagen Ø, Denmark https://orcid.org/0000-0002-4561-989X Supervision Validation Investigation Fillip Janiak University of Sussex https://orcid.org/0000-0002-9295-2740 Supervision Methodology George Kemenes Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0000-0003-2004-8725 Supervision Resources Leon Lagnado Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0000-0002-1098-8839 Supervision Funding Acquisition Sylvia Schroeder Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0000-0002-9938-3931 Writing – Original Draft Preparation Funding Acquisition Supervision Tomas Nowotny Sussex Neuroscience, School of Engineering and Informatics, University of Sussex, Brighton, UK https://orcid.org/0000-0002-4451-915X Funding Acquisition Supervision Writing – Original Draft Preparation Sarah King Sussex Neuroscience, School of Psychology, University of Sussex, Brighton, UK https://orcid.org/0000-0002-7412-9558 Funding Acquisition Supervision Writing – Original Draft Preparation Tom Baden Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0000-0003-2808-4210 Funding Acquisition Supervision Writing – Original Draft Preparation Miguel Maravall Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, UK https://orcid.org/0000-0002-8869-7206 Supervision Funding Acquisition Formal Analysis Writing – Original Draft Preparation André Maia Chagas Pontifícia Universidade Católica de Campinas https://orcid.org/0000-0003-2609-3017 Conceptualization Formal Analysis Funding Acquisition Methodology Project Administration Software Supervision Visualization Writing – Original Draft Preparation Data Curation Validation Resources DOI: https://doi.org/10.1590/SciELOPreprints.15694 Palavras-chave: open hardware, neuroscience, open science, behaviour, open source Resumo In this manuscript we present BeeHive, a standardized, open-source hardware electronics ecosystem designed to address challenges faced by researchers when developing custom scientific equipment. Beehive is flexible and interoperable, since it is organised around minimal design rules. It consists of a microcontroller-based mainboard and function-specific Daughter Boards (DBs) for controlling actuators or reading sensors, allowing researchers to rapidly combine and repurpose components to build complex, specialized systems. This modular approach significantly reduces the time and cost associated with instrumentation development, promoting effective collaboration through shared, standardized solutions. The platform's versatility is demonstrated across several neuroscience applications, including a reward delivery system for head-fixed mice, a modular mouse maze, and an odour stimulator, alongside a dedicated Training DB and curriculum designed to teach electronics and MicroPython programming in an integrated, project-based manner. By embracing open-source principles for hardware and software, BeeHive lowers the barrier to entry for researchers in developing their own setups, fostering greater accessibility, reproducibility, and innovation. The system is also discipline agnostic, and could be used to create tools in different fields. Downloads Os dados de download ainda não estão disponíveis. PDF (Inglês) Postado 23/04/2026 Como Citar BeeHive: A flexible open electronics platform for controlling research equipment and teaching electronics principles. (2026). Em SciELO Preprints . https://doi.org/10.1590/SciELOPreprints.15694 Formatos de Citação ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Baixar Citação Endnote/Zotero/Mendeley (RIS) BibTeX Série Ciências Biológicas Copyright (c) 2026 Ihor Sobianin, Mikkel Roald-Arbøl, Solomon Gitau Ngotho, Lydia Ellison, Sina Dominiak, Shahd Al Balushi, Alejandra Carriero, Marcus Burnell Spector, Eglantine Vignal, Carla Lemos Perinetti, Cansu Demirbatir, Moira Eley, Maria Cozan, Estelle Moubarak, Fillip Janiak, George Kemenes, Leon Lagnado, Sylvia Schroeder, Tomas Nowotny, Sarah King, Tom Baden, Miguel Maravall, André Maia Chagas Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License . .citations-container { overflow-y: auto; overflow-x: hidden; max-height: 1000px; } Plaudit Declaração de dados Os dados de pesquisa estão disponíveis em um ou mais repositório de dados https://github.com/BeeHive-org/BeeHive https://github.com/Sussex-Neuroscience/LL-behaviour-HF https://github.com/Sussex-Neuroscience/mice-maze https://github.com/Sussex-Neuroscience/motor4wheel https://github.com/Sussex-Neuroscience/odour-stimulator https://github.com/Sussex-Neuroscience/LI-850_multiplexer https://github.com/BeeHive-org/5-choice-serial-reaction-time https://github.com/Open-2-Photon-Microscope/3-axis-controller Aviso de preprints Preprints são manuscritos não avaliados por um periódico científico ou já avaliados mas em processo de publicação. .block_announcements_article:not(:last-child) { padding-bottom: 1.5em; border-bottom: 1px solid; } .block_announcements_article { text-align: left; } .block_announcements #show-all{ font-style: italic; } Notícias SciELO Preprints adota obrigatoriedade de declaração de disponibilização de dados de pesquisa 19 agosto 2025 A partir de 1º de setembro de 2025 os manuscritos submetidos ao SciELO Preprints devem incluir uma declaração de disponibilidade de dados informando sobre onde e como os dados da pesquisa que deram origem ao artigo podem ser acessados. 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