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EIDORS is an open-source software tool box written mainly in MATLAB/GNU Octave designed primarily for image reconstruction from electrical impedance tomography (EIT) data, in a biomedical, industrial or geophysical setting. The name was originally an acronym for Electrical Impedance Tomography and Diffuse Optical Reconstruction Software.
Automated reconstruction and batch processing of tilt series. Image Viewing and Movie Making: Viewing of large 3D images slice by slice within 3dmod interface. The ability to view 3D images and models at arbitrary orientations using 3dmod's slicer window. The ability to make high movies of 2D image slices and/or 3D mesh models. Image Processing:
3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost.
Regardless, there are a number of general purpose tomographic reconstruction software packages that have been developed over the last couple decades, both commercial and open-source. Most of the commercial software packages that are available for purchase focus on processing data for benchtop cone-beam CT systems.
Unless automated tools make these corrections, beamline staff can be overwhelmed by data that can be collected far faster than corrections and reconstruction can be performed. [ 3 ] To address the needs for image correction and tomographic reconstruction in an instrument independent manner, the TomoPy code was developed, which is a ...
Image reconstruction software. For X-ray microtomography, powerful open source software is available, such as the ASTRA toolbox. [8] [9] The ASTRA Toolbox is a ...
All the 3DF Zephyr packages share the same proprietary reconstruction engine from 3DFLOW and bundle the automatic image masking software 3DF Masquerade, while the complete edition 3DF Zephyr bundles 3DF Scarlet which is a dedicated software for laser scan registration.
A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene.