MIST has been applied to large and diverse datasets in terms of content, imaging modalities, and microscopes totaling over a thousand fully stitched images (Figure 2). MIST algorithmic pipeline description and novelties: Method and Scalability. Figure 1 highlights the MIST algorithmic pipeline description and novelties. Taxes the computing capacity of a high-end workstation this becomes overwhelming for liveĬell experiments. Moreover, stitching such large image mosaic Intensities to compute the translations between tiles, which increases the translationĬomputation uncertainty for the entire mosaic.
This creates overlapping areas with no foreground pixel Some of these large mosaics are sparse, mainly at the beginning of an experiment beforeĬells grow and cover more areas. Of images that need to be stitched into a large mosaic to derive meaningful information. This process generates hundreds of thousands Than the dimensions of the plate being imaged. It acquires a grid of partially overlapping images because the microscope field of view is much smaller An automated optical microscope acquires pictures of a plate with cell cultures. With new microscope technologies, scientists are acquiring terabyte-sized datasets to cover