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SlideBookDigital Microscopy Software For Acquisition and Analysis

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SlideBook digital microscopy software is designed to enhance research microscopy, offering an integrated platform for instrument control, image processing, and data analysis throughout the experimental process. It supports a vast array of scientific instruments in microscopy labs, providing tools for 3D data acquisition, image processing, and advanced analysis. Key functionalities include mathematical operations, statistical functions, scripting capabilities, and interoperability with other software via import/export options. The software is optimized for special applications like deconvolution and photomanipulation, and leverages formats like .sldy for handling large data sets with improved performance. Additional features include support for NVIDIA CUDA, MATLAB and Python compatibility, and tools for multiphoton systems. SlideBook also facilitates complex experimental workflows through hierarchical capture options and enables rapid 4D imaging with synchronized hardware operation. Through its versatile design, SlideBook meets the needs of diverse microscopy applications, from routine imaging to cutting-edge research.

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SlideBook digital microscopy software advances research microscopy through the entire experimental process. By managing everything from instrument control to image processing and data analysis, SlideBook allows scientists to focus on investigation rather than instrumentation. SlideBook comes standard with drivers to control hundreds of instruments in and around the microscope. Online, data is acquired in a native-3D format over time, color and specimen locations in customizable experiment protocols. Offline, data can be analyzed by a wide variety of tools for image processing including mathematical operations, statistics functions, analysis scripting and import/export to/from other microscopy software. Additional modules are available for special applications ranging from deconvolution to photomanipulation, holography, light sheet, adaptive optics and more.

  • New Views During and After Capture
  • .sldy File Format
  • .sldyz Lossless Compression
  • Conditional Capture
  • Large Data Montaging
  • New Multiwell Interface
  • VIVO Multiphoton Console
  • Cleared Tissue LightSheet Console
  • Bounding Box
  • StoryBoard Movie Maker
  • LUT by Depth
  • User-Selectable Application Appearance
  • Focus Surface
  • GPU Accelerated Processing with CUDA
Capture

SlideBook is able to drive hundreds of devices including microscopes, stages, lasers, wheels, piezos, scanners, shutters and many more via serial commands and TTL pulses. SlideBook is capable of robust data acquisition including z stacks in a native 3D format, time lapse, multiple color channels, multiple stage locations and fluorescence lifetimes. Configuration settings of acquisition channels allow capture of data easily and logically without requiring setting of each device for each experiment.

6D Multicapture
SlideBook allows users to save capture parameters as defined “Capture Scripts” that can be individually applied to different XYZ positions, allowing for vastly increased flexibility in imaging different locations under different conditions. 6D Multicapture can also be set to “Freerun” mode for high-speed multichannel and multidimensional streaming.

View

See and inspect specimen data through any number of portals from single images to z-stacks, time lapse, color channels and 4D views. Adjust raw data with intelligent processing via flatfield correction and filtering. Deconvolve 3D data with any of six algorithms according to experimental conditions.

Scripting

Many processing commands have a macro command counterpart to automate sequences of operations and ensure that all images in each slide are processed identically. The scripting language is a simple sequence of text commands that let SlideBook know what operation to do, on which image or images to do it, and what the parameters are.

MATLAB and Python Compatibility
SlideBook is capable of directly exporting channel data and masks to MATLAB, and importing them after analysis or manipulation is complete. In addition, the .sldy file format may be accessed directly with Python, enabling expanded analysis and visualization options.

Analyze

Analyze images and extract statistical data via a wide variety of algorithms while maintaining original data integrity. Segment image data via intensity, gradient and watershed algorithms to identify areas of interest for statistical analysis. Track objects in 2D and 3D via automatic or manual delineation for analysis based on time or pathway.

Communicate

Present and export data easily as 16-bit TIFFs, 3D and 4D movies, graphs or spreadsheets. Data is directly portable to 3rd-party microscopy software and adheres to Open Microscopy Environment standards.