Correlative light and electron microscopy for complex cellular structures on PDMS substrates with coded micro-patterns. Issue 24 (12th November 2018)

• Record Type: Journal Article
• Authors: Sun, Rong; Chen, Xi; Yin, Chun-Ying; Qi, Lei; Lau, Pak-Ming; Han, Hua; Bi, Guo-Qiang
• Is Part Of: Lab on a chip. Volume 18:Issue 24(2018)
• Page Start: 3840
• Page End: 3848
• Publication Date: 2018-11-12
• Subjects: Miniature electronic equipment -- Periodicals; Combinatorial chemistry -- Periodicals; Biotechnology -- Periodicals; 543.0813
• DOI: 10.1039/c8lc00703a
• Languages: English
• ISSNs: 1473-0197

Abstract

Abstract : A correlative light and electron microscopy system that utilizes PDMS substrates with coded micro-patterns has been developed. Abstract : Fluorescence light microscopy (FLM) is commonly used for localizing specific cellular and subcellular targets. Electron microscopy (EM), on the other hand, can reveal ultrastructural details of cellular architectures beyond the limit of optical resolution. Correlative light and electron microscopy (CLEM) that combines the two techniques has proven valuable in various cell biological applications that require both specificity and resolution. Here, we report an efficient and easy-to-use CLEM system, and its applications in studying neuronal synapses. The system utilizes patterned symbols to encode coordinates on micro-fabricated polydimethylsiloxane (PDMS) substrates, on which dissociated primary hippocampal neurons grow and form synaptic connections. After imaging and localizing specifically labeled synapses with FLM, samples are embedded in resin blocks and sectioned for EM analysis. The patterned symbols on PDMS substrates provide coordinate information, allowing efficient co-registration between FLM and EM images with high precision. A custom-developed software package achieves automated EM image collection, FLM/EM alignment, and EM navigation. With this CLEM system, we have obtained high quality electron tomograms of fluorescently labeled synapses along dendrites of hippocampal neurons and analyzed docking statistics of synaptic vesicles (SVs) in different subtypes of excitatory synapses. This technique provides an efficient approach to combine functional studies with ultrastructural analysis of heterogeneous neuronal synapses, as well as other subcellular structures in general.