Name: PoMiDAQ
Author: Matthias Klumpp

PoMiDAQ is a recording software for UCLA Miniscopes for neuroscientific research. It provides an easy way to record videos from Miniscopes, create Z-stacks to give an overview of visible cells or tissue features and provides an online background subtraction feature to gain an initial insight into cellular calcium activity while data is recorded. Recorded data is encoded with the FFV1 codec by default, to allow for smaller, lossless video files that are safe to archive.The software is designed to work with the latest OpenCV libraries and provides a shared library, so Miniscope recording features can easily be embedded into other programs and pipelines. PoMiDAQ will work with Miniscope V3, V4 and the Siminiscope hardware using the standard DAQ box v3.2.

PoMiDAQ

This release adds the following features:<ul><li>Update to more modern image rendering code from Syntalos</li><li>Add option to highlight image saturation</li><li>Allow building for OpenGL ES, making arm64 builds easier</li><li>Implement a device hard-reset feature for developers</li></ul>This release fixes the following bug:<ul><li>Clean up V4L buffers after OpenCV release for clean future device reconnect</li></ul>This release includes the following changes:<ul><li>ci: Build for Debian 12 by default</li><li>cmake: Stop using PythonInterp, use Python3 module instead in FindNumPy</li></ul>

This release adds the following features:<ul><li>Implement BNO read support</li><li>Perspective-warp BNO indicator according to received BNO data</li><li>Check firmware ABI when connecting to device</li><li>python: Update API to include the new BNO settings</li><li>zstack: Speed up acquisition by waiting for frame counts, not durations</li></ul>This release fixes the following bugs:<ul><li>Optimize PoMiDAQ SVG</li><li>Make "Stop recording" button more obviously clickable</li></ul>

This release adds the following features:<ul><li>Display device name for camera ID on Linux</li><li>Don't store data in temporary location by default</li><li>Update screenshots</li><li>Add Flatpak bundle build recipe</li><li>Validate &amp; augment metainfo file using appstreamcli</li></ul>This release fixes the following bugs:<ul><li>Prevent in-tree builds</li><li>Give a better error when trying to build against GLES instead of OpenGL</li><li>cmake: Find more recent FFmpeg versions as well</li></ul>

This release adds the following features:<ul><li>Implement z-stack capture feature for Miniscopes with an EWL</li><li>Run display image rendering as event loop callback</li></ul>This release fixes the following bug:<ul><li>Resolve a few compiler warnings</li></ul>

View and record videos from UCLA Miniscopes


      Syntalos is a software for timestamp-synchronized parallel data acquisition from diverse data sources,
      such as cameras, microendoscopes, Intan electrophysiology amplifiers or Firmata-based serial interfaces.
      The software also allows closed-loop interventions via its built-in Python scripting support.
      It is specifically designed for use in (neuro)scientific in vivo behavior experiments.
    
      
      The modularity of this software allows its use for a wide variety of experiments and it often can be used without
      any programming skills. Data sources, sinks and processing blocks can be connected graphically with virtual
      "wires" to form a data flow graph using drag &amp; drop, to represent how data should be acquired, displayed
      or stored.
      Syntalos can be expanded with custom Python scripts and custom modules if more flexibility is needed.
      For all data sources, Syntalos ensures timestamps of incoming data are aligned, so the individual pieces of
      data can be correlated without additional processig or external synchronization.
    
      
      All data and metadata generated from an experiment run is stored in a well-defined, comprehensive structure,
      making it easy to compare, pool or share data between experimentalists with different research questions.
    
    

Syntalos

Synchronized data acquisition from diverse sources and flexible experiment control

PoMiDAQ

View and record videos from UCLA Miniscopes

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کاره‌های دیگر Matthias Klumpp