Automating 3D EM segmentation in diatom microalgae using AI-assisted learning: creating a scalable workflow for studying cell morphology
Identifier: S-BIAD2407
Published: 2025-11-12 Licence: CC0 Publisher: BioImage Archive
This collection includes 3D FIB-SEM datasets of Phaeodactylum tricornutum (strain 1 and strain 18) with segmentation labels for chloroplast and vacuole. It provides pretrained deep learning models developed across multiple architectures (3D VNet, 3D SegNet, 3D CNN 4-level, MONAI DynUNet, MONAI BasicUNet, Swin-Net + VNet hybrid, and Contrast-Aware Dual Encoder VNet). The dataset supports organelle segmentation research and transfer learning.
Imaging Methods: focussed ion beam scanning electron microscopy (FIB-SEM)