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Relying on an electron microscopy dataset, we also derive and explicitly enumerate the conditions that should be met to allow synaptic connectivity studies with high-resolution optical tools.
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As example data we used a live-cell microscopy dataset of human HeLa cells expressing a red fluorescent marker for chromatin (H2B-mCherry) and a green fluorescent marker for microtubules (mEGFP-α-tubulin) (Held et al., 2010; Zhong et al., 2012).
Adaptation of the analysis software previously developed by us [ 28] for islet studies greatly facilitated time-lapse microscopy dataset analysis.
> -wrap-foot> Wevaluatete our approach in scanned light-sheet microscopy datasets.
Results: We solve optical flow in large 3D time-lapse microscopy datasets by defining a Markov random field (MRF) over super-voxels in the foreground and applying motion smoothness constraints between super-voxels instead of voxel-wise.
Towards this goal, neurobiologists are acquiring large electron microscopy datasets.
Presented here are three physical models that were fabricated from three different 3D microscopy datasets.
Models of microscopy datasets can aid both researchers and students in understanding complex biological problems.
The tools required to fabricate models from 3D microscopy datasets fall into three categories.
Finally, we presented detailed examples of the use of constrained matrix factorization approaches on different spectroscopy data, including X-ray microscopy and scanning probe microscopy datasets.
Following these approaches, one can easily make 3D printed models from 3D microscopy datasets utilizing off the shelf commercially available software and hardware.
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