Counting synapses using FIB/SEM microscopy: a true revolution for ultrastructural volume reconstruction
Open accessAbstract
The advent of transmission electron microscopy (TEM) in the 1950s represented a fundamental step in the study of neuronal circuits. The application of this technique soon led to the realization that the number of synapses changes during the course of normal life, as well as under certain pathological or experimental circumstances. Since then, one of the main goals in neurosciences has been to define simple and accurate methods to estimate the magnitude of these changes. Contrary to analysing single sections, TEM reconstructions are extremely time-consuming and difficult. Therefore, most quantitative studies use stereological methods to define the three-dimensional characteristics of synaptic junctions that are studied in two dimensions. Here, to count the exact number of synapses per unit of volume we have applied a new three-dimensional reconstruction method that involves the combination of focused ion beam milling and scanning electron microscopy (FIB/SEM). We show that the images obtained with FIB/SEM are similar to those obtained with TEM, but with the advantage that FIB/SEM permits serial reconstructions of large volumes of tissue to be generated rapidly and automatically. Furthermore, we compared the estimates of the number of synapses obtained with stereological methods with the values obtained by FIB/SEM reconstructions. We concluded that FIB/SEM not only provides the actual number of synapses per volume but it is also much easier and faster to use than other currently available TEM methods. More importantly, it also avoids most of the errors introduced by stereological methods and overcomes the difficulties associated with these techniques.
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Automated volume electron microscopy methods are a valuable and efficient approach for identifying synapses in three dimensions and have become the gold standard technique for this purpose.
“Fortunately, the recent introduction of automated volume electron microscopy methods has proven to be a valuable and efficient approach for identifying synapses in three dimensions, becoming the gold standard technique for this purpose for this task (Merchán-Pérez et al., 2009).”
From Unambiguous identification of asymmetric and symmetric synapses using volume electron microscopy (2024) · cites this paper as Merchán-Pérez et al., 2009
The Introduction and Results (pages not available in our copy) describe automated FIB/SEM imaging that enables efficient three-dimensional identification and counting of synapses. The paper does not call it the gold standard, and its findings about FIB/SEM do not establish that status for automated volume electron microscopy methods generally. (LLM, conf=0.88)
Experimental — accuracy not yet measuredFocused Ion Beam Milling and Scanning Electron Microscopy (FIB-SEM) enables automated serial sectioning of large volumes of tissue, without any mechanical interaction with the sample.
“This technology was chosen because it enables automated serial sectioning of large volumes of tissue, without any mechanical interaction with the sample (e.g., see Knott et al., 2008; Merchán-Pérez et al., 2009; Titze and Genoud, 2016; Kubota et al., 2018; Rollenhagen et al., 2020).”
From Unambiguous identification of asymmetric and symmetric synapses using volume electron microscopy (2024) · cites this paper as Merchán-Pérez et al., 2009
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Rodriguez-Moreno, J., Porrero, C., Rollenhagen, A., Rubio-Teves, M., Casas-Torremocha, D., Alonso‐Nanclares, L., Yakoubi, R., Santuy, A., Merchán-Pérez, Á., DeFelipe, J., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2886-19.2020 · Cited by 60 · see citing works
Three-dimensional synaptic organization of the human hippocampal CA1 field
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Dissecting mechanisms of myelinated axon formation using zebrafish.
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The Biochemical Anatomy of Cortical Inhibitory Synapses
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Generation of dense statistical connectomes from sparse morphological data
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Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
Anton-Sanchez, L., Bielza, C., Merchán-Pérez, Á., RodrÃguez, J.-R., DeFelipe, J., & Larrañaga, P. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00085 · Cited by 52 · see citing works
Yakoubi, R., Rollenhagen, A., von Lehe, M., Miller, D., Walkenfort, B., Hasenberg, M., Sätzler, K., & Lübke, J. H. R. (2019) · eLife · doi:10.7554/elife.48373 · Cited by 53 · see citing works
Three-dimensional synaptic Organization of Layer III of the human temporal neocortex
Cano-Astorga, N., DeFelipe, J., & Alonso-Nanclares, L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab120 · Cited by 49 · see citing works
Santuy, A., Rodríguez, J., DeFelipe, J., & Merchán-Pérez, Á. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1470-7 · Cited by 49 · see citing works
HID-1 is required for homotypic fusion of immature secretory granules during maturation
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Emerging insights into synapse dysregulation in Alzheimer’s disease
Martínez-Serra, R., Alonso‐Nanclares, L., Cho, K., & Giese, K.-P. (2022) · Brain Communications · doi:10.1093/braincomms/fcac083 · Cited by 47 · see citing works
Projection Neuron Circuits Resolved Using Correlative Array Tomography
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Synaptic Changes in the Dentate Gyrus of APP/PS1 Transgenic Mice Revealed by Electron Microscopy
Alonso-Nanclares, L., Merino-Serrais, P., Gonzalez, S., & DeFelipe, J. (2013) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31828d41ec · Cited by 45 · see citing works
Kikuchi, T., González‐Soriano, J., Kastanauskaite, A., Benavides‐Piccione, R., Merchán-Pérez, Á., DeFelipe, J., & Blázquez‐Llorca, L. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz343 · Cited by 43 · see citing works
New developments in electron microscopy for serial image acquisition of neuronal profiles
Kubota, Y. (2015) · Microscopy · doi:10.1093/jmicro/dfu111 · Cited by 44 · see citing works
Kwon, T., Merchán-Pérez, Á., Verde, E. R., Rodríguez, J., DeFelipe, J., & Yuste, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy143 · Cited by 44 · see citing works
Using electron microscopes to look into the lung
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Correlation of two‐photon in vivo imaging and FIB/SEM microscopy
Blázquez‐Llorca, L., Hummel, E., ZIMMERMAN, H., Zou, C., Burgold, S., Rietdorf, J., & Herms, J. W. (2015) · Journal of Microscopy · doi:10.1111/jmi.12231 · Cited by 42 · see citing works
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The versatile electron microscope: An ultrastructural overview of autophagy
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Input clustering and the microscale structure of local circuits
DeBello, W. M., McBride, T. J., Nichols, G. S., Pannoni, K. E., Sanculi, D., & Totten, D. J. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00112 · Cited by 38 · see citing works
Characterization and extraction of the synaptic apposition surface for synaptic geometry analysis
Morales, J., Rodríguez, Á., Rodríguez, J., DeFelipe, J., & Merchán-Pérez, Á. (2013) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2013.00020 · Cited by 37 · see citing works
Towards native-state imaging in biological context in the electron microscope
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3D Analysis of the Synaptic Organization in the Entorhinal Cortex in Alzheimer’s Disease
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A Stereological Study of Synapse Number in the Epileptic Human Hippocampus
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Zhao, J., Yu, X., Shentu, X., & Li, D. (2024) · Cell and Tissue Research · doi:10.1007/s00441-024-03878-7 · Cited by 34 · see citing works
Knowing a synapse when you see one
Burette, A. C., Collman, F., Micheva, K. D., Smith, S. J., & Weinberg, R. J. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00100 · Cited by 30 · see citing works
In situ fiducial markers for 3D correlative cryo-fluorescence and FIB-SEM imaging
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Napper, R. M. A. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00016 · Cited by 31 · see citing works
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A new method for exact three‐dimensional reconstructions of diatom frustules
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The Influence of Synaptic Size on AMPA Receptor Activation: A Monte Carlo Model
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Ju, X., Jang, Y., Heo, J. Y., Park, J.-H., Yun, S., Park, S., Huh, Y. H., Kim, H., Lee, Y., Kim, Y. H., et al. (2018) · NeuroToxicology · doi:10.1016/j.neuro.2018.11.014 · Cited by 28 · see citing works
A Brief History of Neuronal Reconstruction
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3D Ultrastructural Study of Synapses in the Human Entorhinal Cortex
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3D synaptic organization of layer III of the human anterior cingulate and temporopolar cortex
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Automated segmentation of synapses in 3D EM data
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SynapseJ: An Automated, Synapse Identification Macro for ImageJ
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- Authors
- Merchan-Pérez, A.
- Venue
- Frontiers in Neuroanatomy
- Publisher
- Frontiers Media SA
- Published
- 2009
- Volume
- 3
- Pages
- 18-18
- ISSN
- 1662-5129 (ISSN-L)
- PMC
- PMC2784681
- OpenAlex
- W2063752629
- Cited by
- 191
- References
- 60
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 10 · 2023: 4 · 2022: 10 · 2021: 13 · 2020: 15 · 2019: 9 · 2018: 17 · 2017: 12 · 2016: 12 · 2015: 19 · 2014: 12 · 2013: 17 · 2012: 10
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroanatomy (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- École Polytechnique Fédérale de Lausanne
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Materials Characterization Techniques
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- FIB-SEM, 3D reconstruction, stereology, synapses, synaptic density, serial sectioning, neural circuits, transmission electron microscopy
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