Abstract
Volume electron microscopy (vEM) provides nanometer-scale, three-dimensional imaging of cells, but applying it to plant systems remains challenging. Cell walls, large vacuoles, and tissue thickness complicate sample preparation and cryogenic imaging. Here we report a cryogenic vEM (cryo-vEM) workflow for unstained plant protoplasts that achieves volumetric imaging of whole vitrified sorghum stem protoplasts without chemical fixation, dehydration, resin embedding, or heavy-metal staining. The method integrates optimized protoplast isolation, plunge-freezing vitrification for native-state preservation, automated cryogenic focus ion beam scanning electron microscopy (cryo-FIB-SEM) slice-and-view acquisition, contrast enhancement and stack alignment, and AI-assisted human-in-the-loop 3D segmentation. Using sorghum stem protoplasts as a demonstration, the workflow captured large-volume frozen-hydrated protoplast ultrastructure, allowing visualization of major organelles, including the nucleus, mitochondria, vacuoles, ER/Golgi-like membranes, lipid bodies, and subcellular features consistent with nuclear-envelope pores. We further quantified organelle volumes and surface areas from the segmented 3D data, highlighting the potential for quantitative cellular ultrastructure analysis. This cryo-vEM workflow provides a platform for near-native structural studies of isolated plant protoplasts.
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Abstract
Volume electron microscopy (vEM) provides nanometer-scale, 3D imaging of cells, but applying it to plant cells has been constrained by rigid cell walls and the need for harsh chemical fixation and staining. Here we report a cryogenic vEM (cryo-vEM) workflow for plant protoplasts that achieves high-resolution volumetric imaging of whole cells at up to 4 nm in a fully hydrated, vitrified state without any chemical fixation or heavy-metal staining. The method integrates optimized protoplast isolation, plunge-freezing vitrification for native-state preservation, automated cryogenic focus ion beam scanning electron microscopy (cryo-FIB-SEM) slicing and imaging, and a computational pipeline for image contrast enhancement, alignment, and machine learning assisted 3D segmentation. Using sorghum stem protoplasts as a demonstration, the workflow reliably captured complete cellular ultrastructure, resolving major organelles of the nucleus, mitochondria, vacuoles, endoplasmic reticulum, lipid bodies, and subcellular features such as membrane contact sites in situ and their native states. We further quantified organelle volumes and surface areas from the segmented 3D data, highlighting the potential for quantitative cellular ultrastructure analysis. This versatile cryo-vEM platform opens the door for in situ structural studies of plant cells, enabling unprecedented insights into native-state organelle architecture and interactions in plant biology.
Competing Interest Statement
The authors have declared no competing interest.
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