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URL: http://www.ini.uzh.ch/~acardona/data.html
Proper Citation: Segmented ssTEM stack of neural tissue (RRID:SCR_007004)
Description: 30 sections from a serial section Transmission Electron Microscopy (ssTEM) data set of the Drosophila first instar larva ventral nerve cord (VNC). The microcube measures 2 x 2 x 1.5 microns approx., with a resolution of 4x4x50 nm/pixel. The images are representative of actual images in the real-world: there is a bit of noise; there are image registration errors; there is even a small stitching error in one section. None of these led to any difficulties in the manual labeling of each element in the image stack by an expert human neuroanatomist. A software application that aims at removing or reducing human operation must be able to cope with all these issues. Each labeled object has a unique id and fits into the overall datastructure of the data set. For example, each mitochondria is represented by a unique Arealist object, containing a list of labeled areas, one per section. All membranes have been highlighted as one unique object. All neurites (and glia) have been highlighted each as its own independent object, delimited by membrane and non-overlapping with membrane and with each other. On the other hand, mitochondria, noise and synapses overlap with membranes, neurites and glia; hence, they are offered as independent tif stacks.
Abbreviations: Segmented ssTEM stack of neural tissue
Resource Type: image, data set, data or information resource
Defining Citation: PMID:20957184
Keywords: ventral nerve cord, transmission electron microscopy, mitochondria, synapse, membrane, neurite, glia, noise, section
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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