The Need for High-Throughput One of the reasons why optical tomography techniques have not become mainstream is the lack of high-throughput. OPT, SPIM and similar microscopy techniques rely on a single measurement session per specimen, and in the case of OPT a single reconstruction procedure for each measurement session. This ensures that the process is time-consuming and thus one not useful for imaging large numbers of specimens, or, more importantly, for timelapse imaging. The amount of time required for a complete time-lapse imaging session on enough D. melanogaster subjects to obtain statistically significant results, for example, is impractical. It is for this reason that these experiments at the forefront of current biological research are pursued otherwise, typically using planar microscopy techniques. Exactly the same problem is present in FMT: each imaging session is typically in the order of 10 minutes per wavelength measured and must be done one subject at a time. If to this we add the time necessary to prepare and place the mouse, and the amount of time required to solve the inverse problem, we may easily reach time near the 30 minute range possibly one hour if multispectral measurements are acquired. This means that if 3D imaging is required for a drug development study, for example, this is done on a limited number of animals, resorting to planar imaging approaches (epi-fluorescence, for example) for the high throughput. Unfortunately these planar approaches are incapable of giving 3D information and are not quantitative in nature. The goal of this proposal is to develop novel hardware and software approaches to ensure high throughput in optical tomography approaches. For this two main issues will be addressed: I) High Throughput Setups II) Fast Reconstruction Algorithms. Three specific cases will be addressed: