@article {69525,
	title = {iTome Volumetric Serial Sectioning Apparatus for TEM},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 Jul 07},
	abstract = {<p>An automated ultra-microtome capable of sectioning thousands of ultrathin sections onto standard TEM slot grids was developed and used to section: a complete Drosophila melanogaster first-instar larva, three sections per grid, into 4,866 34-nm-thick sections with a cutting and pickup success rate of 99.74\%; 30 microns of mouse cortex measuring roughly 400 um x 2000 um at 40 nm per slice; and a full adult Drosophila brain and ventral nerve column into 9,300 sections with a pickup success rate of 99.95\%. The apparatus uses optical interferometers to monitor a reference distance between the cutting knife and multiple sample blocks. Cut sections are picked up from the knife-boat water surface while they are still anchored to the cutting knife. Blocks without embedded tissue are used to displace tissue-containing sections away from the knife edge so that the tissue regions end up in the grid slot instead of on the grid rim.</p>
},
	doi = {10.1101/2024.07.02.601671},
	url = {https://doi.org/10.1101/2024.07.02.601671 },
	author = {Peale, David R. and Hess, Harald and Lee, P. R. and Cardona, Albert and Bock, Davi D. and Schneider-Mizell, Casey and Fetter, Richard D. and Lee, Wei-Ping and Robinson, Camenzind G. and Iyer, Nirmala and Managan, Claire}
}
@article {1245,
	title = {Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction.},
	journal = {Computer Vision and Pattern Recognition (CVPR)},
	year = {2010},
	month = {2010},
	pages = {1767-74},
	issn = {1063-6919},
	doi = {10.1109/CVPR.2010.5539846},
	author = {Veeraraghavan, Ashok and Genkin, Alex V and Vitaladevuni, Shiv and Scheffer, Lou and Xu, CShan and Hess, Harald and Fetter, Richard and Cantoni, Marco and Knott, Graham and Chklovskii, Dmitri B}
}
