Serial Section Scanning Electron Microscopy of Adult Brain Tissue Using Focused Ion Beam Milling
By G. Knott, H. Marchman, David Wall, B. Lich. 2008
686 citations recorded by the source corpus.
### Introduction Analyzing the synaptic basis of neuronal circuits within a volume of brain tissue requires electron microscopy. With a resolution capable of seeing the smallest synaptic contacts, this method uses different sectioning techniques to produce serial images suitable for seeing the
Subfields: Atomic and Molecular Physics, and Optics, Structural Biology, Surfaces, Coatings and Films, Neuroscience
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In Structural Biology
- Johannes E. Schindelin
- Stephan Saalfeld
- Pavel Tomancak
- Benjamin Schmid
- Ignacio Arganda-Carreras
- H. Sebastian Seung
- Robert Haase
- Albert Cardona
In Surfaces, Coatings and Films
- Benjamin Schmid
- Ignacio Arganda-Carreras
- H. Sebastian Seung
- Albert Cardona
- Anchi Cheng
- Rodney J. Douglas
- Stephan Saalfeld
- Volker Hartenstein
In Neuroscience
- Albert Cardona
- Benjamin Schmid
- Ignacio Arganda-Carreras
- H. Sebastian Seung
- Anchi Cheng
- Rodney J. Douglas
- Stephan Saalfeld
- Volker Hartenstein
Citations in the corpus
- An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy (2010, methodology): “The second novel technique, focused ion beam (FIB) milling combined with block-face scanning electron microscopy [67], delivers up to 5 nm/pixel resolution.”
- Insect morphology in the age of phylogenomics: innovative techniques and its future role in systematics (2014, background): “…beam SEMs are equipped with an additional, strongly focused ion beam (e.g. helium, gallium), which allows removing precisely defined parts of the specimen to examine structures below the surface (Knott et al. 2008) or to open small compartments (e.g. surface receptors) (e.g. Stavenga et al. 2004).”
- TrakEM2 Software for Neural Circuit Reconstruction (2012, methodology): “Now, novel algorithms for tomographic reconstruction of serial sections [36] and more isotropic EM imaging with BFSSEM [3] and FIBSEM [6] suggest that the approach, which limits the manipulation of image data to the XY plane will need to evolve to meet this challenge.”
- Machines that learn to segment images: a crucial technology for connectomics. (2010, background): “Two interior The FIB-SEM method also produces high resolution images, but it is not yet clear whether it can be scaled up to larger volumes [16]. c A coloring is also a nonlocal representation, in the sense that the coloring of different pixels cannot be done independently.”
- Labkit: Labeling and Segmentation Toolkit for Big Image Data (2021, background): “…al., 2006), modern tissue clearing (Dodt et al., 2007; Hama et al., 2011), or serial section scanning electron microscopy (Denk and Horstmann, 2004; Knott et al., 2008) enabling researchers to observe biological tissues and their underlying cellular and molecular composition and dynamics in…”