We are sorry, but NCBI web applications do not support your browser and may not function properly. More information

Results: 2

1.
Figure 2

Figure 2. From: Computational Methods and Challenges for Large-Scale Circuit Mapping.

Examples of successful reconstruction software for large-scale EM and LM data sets. (A) Snapshot of TrakEM2 [12], which is especially suited for ssTEM analysis (s. Text). (B) Reconstruction of 2 neurons in a fly brain using V3D [40], which was designed for whole-brain LM data. (C) Snapshot and neuron reconstruction (inset) using KNOSSOS [24], which was tailored to 3D EM data from SBEM or FIB/SEM experiments. See Table 1 for an overview of available reconstruction tools and their versatility. Images courtesy of A. Cardona (A) and H. Peng (B).

Moritz Helmstaedter, et al. Curr Opin Neurobiol. ;22(1):162-169.
2.
Figure 1

Figure 1. From: Computational Methods and Challenges for Large-Scale Circuit Mapping.

Schematic of reconstruction modes for large-scale EM or LM data, depending on the degree of anisotropy of the image data. (A) When the in-plane resolution is substantially higher than that across planes, reconstruction is done in-plane, and structures are followed into the adjacent sections. This is the typical reconstruction mode for ssTEM, (s. Text), and amounts to a “2 1/2 D-” reconstruction.
(B) When voxel sizes are close to isotropic, neurites can be reconstructed in 3D. This is the typical reconstruction mode for SBEM, FIB-SEM, and some LM datasets, (s. Text). The most widely employed software for both types of reconstruction is listed in Table 1. Note that both reconstruction modes eventually aim at reconstructing three-dimensional objects, right panels.

Moritz Helmstaedter, et al. Curr Opin Neurobiol. ;22(1):162-169.

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Write to the Help Desk