![]() ![]() Ratio display and statistics are performed live using floating point arithmetic on the raw image data to minimize roundoff error and utilize memory efficiently. Ratio data can be uncalibrated, calibrated using buffer solutions, or calibrated intracellularly. ![]() SlideBook’s Ratio Imaging module allows calibration, acquisition, graphing, and analysis of data from ratiometric indicators such as Fura-2, BCECF, and genetically expressed Cameleons. sldy file format is also natively compatible with Python, allowing direct access to image data without the need for a special reader. sldy file format allows for much faster execution of certain file operations, such as deleting a single image or timepoint. sldy is an open-source-friendly collection of individual image and metadata files in a directory. sld is a single file that contains all images and metadata sld file format is still available and appropriate for many users. Images, masks, and histograms are stored as Python-compatible NumPy arrays, and the metadata is stored in the open-source YAML format, enabling users with coding experience to process images directly in Python. The distributed nature makes image manipulation operations – such as removing a channel or a selection of time points – nearly instantaneous. sldy file is a distributed file format that points to a directory where each captured 2D or 3D image is stored in an independent file (by channel and timepoint) alongside metadata files describing the capture and microscope parameters. ![]() sldy file format, an open-source-friendly file format designed for very large data sets (from 100GB to >1TB). ![]()
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