{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:44:41Z","timestamp":1760060681962,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T00:00:00Z","timestamp":1757548800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sichuan Science and Technology Plan: Research and Application of Key Technologies of Command and Equipment for Hail Suppression in Xinjiang","award":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"],"award-info":[{"award-number":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"]}]},{"name":"Sichuan University students innovation and entrepreneurship training program","award":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"],"award-info":[{"award-number":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"]}]},{"name":"Chengdu University of Information Technology key project of education reform","award":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"],"award-info":[{"award-number":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"]}]},{"name":"Dazhou Key Laboratory of Government Data Security","award":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"],"award-info":[{"award-number":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"]}]},{"name":"Key Laboratory of Remote Sensing Application and Innovation","award":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"],"award-info":[{"award-number":["2024YFHZ0151","S202410621082","JYJG2024206","ZSAQ202501","ZSAQ202502","ZSAQ202507","LRSAI-2025004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biomimetics"],"abstract":"<jats:p>The widespread application of organoids in disease modeling and drug development is significantly constrained by challenges in automated quantitative analysis. In bright-field microscopy images, organoids exhibit complex characteristics, including irregular morphology, blurred boundaries, and substantial scale variations, largely stemming from their dynamic self-organization that mimics in vivo tissue development. Existing convolutional neural network-based methods are limited by fixed receptive fields and insufficient modeling of inter-channel relationships, making them inadequate for detecting such evolving biological structures. To address these challenges, we propose a novel detection head, termed Interactive Dual-Perception Head (IDP-Head), inspired by hierarchical perception mechanisms in the biological visual cortex. Integrated into the RTMDet framework, IDP-Head comprises two bio-inspired components: a Large-Kernel Global Perception Module (LGPM) to capture global morphological dependencies, analogous to the wide receptive fields of cortical neurons, and a Progressive Channel Synergy Module (PCSM) that models inter-channel semantic collaboration, echoing the integrative processing of multi-channel stimuli in neural systems. Additionally, we construct a new organoid detection dataset to mitigate the scarcity of annotated data. Extensive experiments on both our dataset and public benchmarks demonstrate that IDP-Head achieves a 5-percentage-point improvement in mean Average Precision (mAP) over the baseline model, offering a biologically inspired and effective solution for high-fidelity organoid detection.<\/jats:p>","DOI":"10.3390\/biomimetics10090614","type":"journal-article","created":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T14:23:50Z","timestamp":1757600630000},"page":"614","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["IDP-Head: An Interactive Dual-Perception Architecture for Organoid Detection in Mouse Microscopic Images"],"prefix":"10.3390","volume":"10","author":[{"given":"Yuhang","family":"Yang","sequence":"first","affiliation":[{"name":"School of Software, Xinjiang University, Urumqi 830091, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changyuan","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Zhou","sequence":"additional","affiliation":[{"name":"The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9632-8006","authenticated-orcid":false,"given":"Peiyang","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Laboratory of Remote Sensing Application and Innovation, Chongqing 401147, China"},{"name":"Dazhou Key Laboratory of Government Data Security, Sichuan University of Arts and Science, Dazhou 635000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2162","DOI":"10.1038\/s12276-024-01312-0","article-title":"Long-term three-dimensional high-resolution imaging of live unlabeled small intestinal organoids via low-coherence holotomography","volume":"56","author":"Lee","year":"2024","journal-title":"Exp. 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