AI Article Synopsis
- Optical projection tomography (OPT) is a key imaging technique for capturing 3D images at a mesoscopic scale, but it faces challenges with depth of field (DOF) due to high numerical aperture, making it hard to focus on large samples.
- Researchers developed a projection selection method that automatically chooses the best image projections from different focus planes, enhancing the 3D reconstruction process.
- Experimental results show that this method significantly improves image quality compared to using a fixed focus, and it can be adapted for various OPT setups with a simple addition of a linear stage.
Article Abstract
Optical projection tomography (OPT) is a very important imaging tool for a mesoscopic-scale. It can provide three dimensional (3D) transmission and emission imaging. However, high-resolution OPT is limited in depth of field (DOF) due to a high numerical aperture, which causes a poor performance of OPT in imaging large samples. Moreover, it is difficult to tune the focus plane (FP) to a fixed position where OPT always has the best image quality in different directions. To address these problems, we developed a projection selection method to improve DOF in OPT. In each direction, our method automatically selects the best projection from several projections with different FP. Then, we use a series of selected projections for 3D reconstruction. The experimental results demonstrate that our method can improve the image quality comparing to a fixed FP. Moreover, our method is flexible to be used in other OPT setups by adding a linear stage.
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| http://dx.doi.org/10.1109/EMBC.2014.6943565 | DOI Listing |
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