Difference between revisions of "Data Acquisition Software"
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: A. If using a color CMOS imaging sensor checking 'Color' will display the live video stream in color.
: A. If using a color CMOS imaging sensor checking 'Color' will display the live video stream in color. will display only those channels.
Revision as of 12:49, 9 January 2016
The Data Acquisition (DAQ) Software developed for this project and provided through this wiki supports live streaming, syncing, and recording from up to two video sources. The software gives the user full control of camera properties (such as gain, exposure, frame rate) as well as controls the power of the excitation LED. Written in C++ using Microsoft Visual Studio, the software uses Open Computer Visions (OpenCV) to connect, control, and stream video data.
When a video source (microscope or behavioral camera) is connected, a new processing thread is created which constantly polls the video source for a new frame. If the video is being recorded to disk, an addition thread is created which handles writing video data to disk without adding any overhead to the acquisition threads. While not fully implemented yet, the multithreaded nature of the software can support online image processing and real-time feedback without affecting data acquisition.
The data recorded by the DAQ software is saved in a folder structure based on the data and time of recording.
- Date/Time/ folder structure
- For example, 6_29_15/H15_M45_S12/
- ‘settings_and_notes.dat’ records scope settings and notes
- ‘timestamp.dat’ holds timing and syncing data for video streams
- ‘msCam1.avi’, ‘msCam2.avi’, etc. hold 1000 frames each of scope data
- ‘behavCam1.avi’, behavCam2.avi’, etc. hold 1000 frames each of behavior camera data
- Live streaming/recording of microscope and behavioral camera video
- Syncing of video streams and external devices
- Controls exposure, gain, ROI, LED excitation power, frame rate
- Embedded note taking with time stamps
- Pixel saturation detection
- Supports color and monochrome imaging sensors
- Multithreaded software with dedicated thread for real-time feedback/processing
The general work flow of using the DAQ software is shown below in red. Additional features are shown in blue.
- Select the Windows imaging device number associated with the Miniscope. This will be a number between 0 and 2 and will remain the same for each computer. Click 'Connect' and a new window should open up displaying the live video stream from the miniscope. If this window is red try clicking 'Connect' an additional time.
- Adjust the Exposure and Gain of the miniscope imaging sensor. For most appliations both of these should be set to their maximum.
- Set the excitation LED power. With the imaging sensor running at maximum exposure and gain the LED power should usually be somewhere between 1 and 10. Currently the LED power maxes out around 40% but can be increase if needed by adjusting a resistor on the CMOS imaging sensor PCB. If the 'Divide by 10' box is checked, the LED power is divided by 10.
- If using a behavioral camera, select the Windows imaging device number associated with it. Click 'Connect' and a new window should open displaying the live video stream.
- You can now drag click and hold you mouse over the behavioral camera window to select a Region Of Interest (ROI). Only pixels in the ROI will be saved. Properties supported by your behavioral camera can be adjusted by clicking 'Properties'.
- Enter the animal name. This information will be recorded in the Settings and notes.dat file.
- To record for a fixed amount of time enter it here. A '0' will run the recording until 'Stop' is clicked.
- Click 'Record'.
- A. If using a color CMOS imaging sensor checking 'Color' will display the live video stream in color. Checking the individual color will display only those channels.
An installation guide can be found here.
The current and previous versions of the DAQ Software can be downloaded here.
The GitHub repository for the DAQ software can be found here. The software is written in Microsoft Visual Studio using the Microsoft Foundation Class (MFC) and Open Computer Vision (OpenCV).