Serial Block-Face Scanning Electron Microscopy

Why biology demands 3D electron microscopy: the limitations of conventional TEM and the emergence of volume imaging techniques like SBF-SEM.

The automated cut-and-image cycle at the heart of SBF-SEM, from diamond knife sectioning to backscattered electron detection and signal generation.

Commercial SBF-SEM platforms including Gatan 3View and ConnectomX, detector technologies, beam deceleration, and charge mitigation hardware.

Protocols for chemical fixation, heavy-metal en bloc staining (OTO, ROTO), resin embedding, and conductivity enhancement for optimal contrast.

Optimising accelerating voltage, dwell time, pixel size, and slice thickness while managing electron dose, charging, and resin damage.

Handling terabyte-scale datasets: image alignment, stack registration, noise reduction, manual and semi-automated segmentation pipelines.

Deep learning architectures (U-Net, 3D CNNs) for automated segmentation, transfer learning, ground truth generation, and generalist AI tools.

Combining fluorescence microscopy with SBF-SEM to bridge molecular specificity and nanoscale structure through fiducial markers and targeted workflows.

Mapping neural circuits, characterising synapses, tracing glial morphology, and resolving myelination patterns at nanoscale resolution.

Large-scale dense circuit reconstruction, global connectome initiatives, automated synapse detection, and bridging structure to function.

3D visualisation of mitochondrial networks, ER morphology, Golgi architecture, lysosomes, and organelle membrane contact sites.

Resolving sarcotubular networks, mitochondrial subpopulations, pathological cardiac remodelling, and skeletal muscle ultrastructure in 3D.

Overcoming plant-specific preparation challenges to image chloroplast biogenesis, plasmodesmata, root tip development, and wood anatomy.

Imaging embryonic tissue ultrastructure, oogenesis, organogenesis, extracellular matrix remodelling, and developmental connectomics.

3D ultrastructural pathology across renal, hepatic, neoplastic, and neurodegenerative disease, plus host-pathogen interaction studies.

Extending SBF-SEM to polymers, composites, alloys, geological samples, and cementitious materials with adapted cutting techniques.

The volume EM software pipeline: acquisition control, pre-processing, segmentation tools, 3D visualisation, and collaborative web platforms.

How SBF-SEM compares with FIB-SEM, serial section TEM, array tomography, and ATUM-SEM in resolution, throughput, and volume coverage.

Emerging advances in detector technology, AI integration, CLEM workflows, data standardisation, and accessibility for the next generation of SBF-SEM.

Complete bibliography of 287 references cited across this review.