Abstract
Traditional optical projection tomography (OPT) acquires a single image at each rotation angle, thereby suffering from limitations in CCD dynamic range; this conventional usage cannot resolve features in samples with highly heterogeneous absorption, such as in small animals with organs of varying size. We present a novel technique, applying multiple-exposure high dynamic range (HDR) imaging to OPT, and demonstrate its ability to resolve fine details in zebrafish embryos, without complicated chemical clearing. We implement the tomographic reconstruction algorithm on the GPU, yielding a performance increase of two orders of magnitude. These features give our method potential application in high-throughput, high-resolution in vivo 3D imaging.
Highlights
Tomography is a long-used technique to reconstruct the 3D structure of objects based on a series of 2D images
We present a new method combining optical projection tomography (OPT) with high dynamic-range (HDR) imaging, a widely-used technique developed to preserve more complete information from the lightest and the darkest areas of an image, when the dynamicrange may exceed that able to be captured in a single exposure
We combine images from the same position collected with different exposure times; each individual image is properly exposed for a certain set of features in a particular range of transparency
Summary
Tomography is a long-used technique to reconstruct the 3D structure of objects based on a series of 2D images. In projection tomography, developed for X-rays [1,2,3], a sample is illuminated from behind and rotated, so that the transmission at every angle is recorded, and forms the basis for 3D reconstruction. This technique has been developed with visible light, called optical projection tomography (OPT) [4], and is well suited for reconstructing absorptive/fluorescent specimens with intermediate sizes [5,6,7,8]. Resolving the full 3D internal structure of many objects is difficult to impossible with conventional OPT
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