ArticleBiomedical optics express2020
Three-dimensional imaging of intact porcine cochlea using tissue clearing and custom-built light-sheet microscopy.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- Metalens-Based Dual Light-Sheet Fluorescence Microscopy.Small methods · 2025Article
- Advances in tissue optical clearing for 3D imaging in large animal.Frontiers of optoelectronics · 2025Review
- Spiner, deep learning-based automated detection of spiral ganglion neurons in intact cochleae.iScience · 2025Article
- 2D vs. 3D Evaluation of Osteocyte Lacunae - Methodological Approaches, Recommended Parameters, and Challenges: A Narrative Review by the European Calcified Tissue Society (ECTS).Current osteoporosis reports · 2024Review
- Roadmap on computational methods in optical imaging and holography [invited].Applied physics. B, Lasers and optics · 2024Review
- Intelligent Beam Optimization for Light-Sheet Fluorescence Microscopy through Deep Learning.Intelligent computing (Washington, D.C.) · 2024Article
- Surgical procedure of intratympanic injection and inner ear pharmacokinetics simulation in domestic pigs.Frontiers in pharmacology · 2024Article
- Enhancing Light-Sheet Fluorescence Microscopy Illumination Beams through Deep Design Optimization.bioRxiv : the preprint server for biology · 2023Article
- Three-Dimensional Imaging and Quantitative Analysis of Blood Vessel Distribution in The Meniscus of Transgenic Mouse after Tissue Clearing.Cell journal · 2023Article
- Three-dimensional mouse cochlea imaging based on the modified Sca/eS using confocal microscopy.Anatomical science international · 2023Article
- Assessment of drug permeability through an ex vivo porcine round window membrane model.iScience · 2023Article
- Deep learning-based adaptive optics for light sheet fluorescence microscopy.Biomedical optics express · 2023Article
- COMBINe enables automated detection and classification of neurons and astrocytes in tissue-cleared mouse brains.Cell reports methods · 2023Article
- The hair cell analysis toolbox is a precise and fully automated pipeline for whole cochlea hair cell quantification.PLoS biology · 2023Article
- Ontogeny of cellular organization and LGR5 expression in porcine cochlea revealed using tissue clearing and 3D imaging.iScience · 2022Article
- Quantitative analysis of illumination and detection corrections in adaptive light sheet fluorescence microscopy.Biomedical optics express · 2022Article
- Illumination angle correction during image acquisition in light-sheet fluorescence microscopy using deep learning.Biomedical optics express · 2022Article
- Deep learning-based autofocus method enhances image quality in light-sheet fluorescence microscopy.Biomedical optics express · 2021Article
- Tutorial: practical considerations for tissue clearing and imaging.Nature protocols · 2021Review
- Detection and classification of neurons and glial cells in the MADM mouse brain using RetinaNet.PloS one · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hearing loss is a prevalent disorder that affects people of all ages. On top of the existing hearing aids and cochlear implants, there is a growing effort to regenerate functional tissues and restore hearing. However, studying and evaluating these regenerative medicine approaches in a big animal model (e.g. pigs) whose anatomy, physiology, and organ size are similar to a human is challenging. In big animal models, the cochlea is bulky, intricate, and veiled in a dense and craggy otic capsule. These facts complicate 3D microscopic analysis that is vital in the cochlea, where structure-function relation is time and again manifested. To allow 3D imaging of an intact cochlea of newborn and juvenile pigs with a volume up to ∼ 250 mm
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Registered trials
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.