MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization.

ABSTRACT: Automated microscopy can image specimens larger than the microscope's field of view (FOV) by stitching overlapping image tiles. It also enables time-lapse studies of entire cell cultures in multiple imaging modalities. We created MIST (Microscopy Image Stitching Tool) for rapid and accurate stitching of large 2D time-lapse mosaics. MIST estimates the mechanical stage model parameters (actuator backlash, and stage repeatability 'r') from computed pairwise translations and then minimizes stitching errors by optimizing the translations within a (4r)² square area. MIST has a performance-oriented implementation utilizing multicore hybrid CPU/GPU computing resources, which can process terabytes of time-lapse multi-channel mosaics 15 to 100 times faster than existing tools. We created

SUBMITTER: Chalfoun J 

PROVIDER: S-EPMC5504007 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature