ArticleBioData mining2018
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images.
Article in BioData mining, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Quantitative reconstruction of neuronal mitochondrial network in neurites and somata in rat hippocampus and prefrontal cortex.Frontiers in physiology · 2026Article
- An evolutionarily unique viral RdRP suggests a common dual-function feature of the priming element.Science advances · 2025Article
- Exploratory Research of Intraductal Chemotherapy to Control the Focal Breast Lesion of Breast Cancer.Breast cancer (Dove Medical Press) · 2025Article
- Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes.BMC bioinformatics · 2022Article
- Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells.Neuroscience bulletin · 2022Article
- Cryo-EM structure of glycoprotein C from Crimean-Congo hemorrhagic fever virus.Virologica Sinica · 2022Article
- Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum‒organelle interactions.Journal of molecular cell biology · 2021Article
- Sparse self-attention aggregation networks for neural sequence slice interpolation.BioData mining · 2021Article
- Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning.Frontiers in neuroscience · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is becoming increasingly clear that the quantification of mitochondria and synapses is of great significance to understand the function of biological nervous systems. Electron microscopy (EM), with the necessary resolution in three directions, is the only available imaging method to look closely into these issues. Therefore, estimating the number of mitochondria and synapses from the serial EM images is coming into prominence. Since previous studies have achieved preferable 2D segmentation performance, it holds great promise to obtain the 3D connection relationship from the 2D segmentation results.
resultsIn this paper, we improve upon Matlab's function
conclusionsThe proposed method can be deemed as an effective strategy to obtain the 3D connection relationship from serial mitochondria and synapse segmentations. It is helpful to accurately and quickly quantify the statistics of the numbers, volumes, surface areas, and lengths, which will greatly facilitate the data analysis of neurobiology research.
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