Tucsen / Dhyana¶
The Dhyana95 uses backside-illuminated sCMOS thinned chip technology to avoid light interference from the wiring layer, thereby increasing the pixel area and improving the photoelectric conversion rate.
This plugin control a TUCSEN Dhyana (95) camera under WINDOWS, using TUCam (32 bits) SDK 220.127.116.11 library.
Linux is supported as well using the TUCam SDK (x86_64) for Linux, release. 18.104.22.168.
To get the SDK please contact your camera seller.
The Dhyana 95 is only supporting USB3 interface. On Linux USB device can only be accessed by root user. To allow any user to control the camera you should manually change the udev settings for this particular usb device. As root create a new file under /etc/udev/rules.d/99-tucsen.rules add the following udev rules:
Then you can simply unplug your camera, restart the computer and then plug the camera
Installation & Module configuration¶
Follow the generic instructions in Build and Install. If using CMake directly, add the following flag:
For the Tango server installation, refers to PyTango Device Server.
Initialisation and Capabilities¶
Implementing a new plugin for new detector is driven by the LIMA framework but the developer has some freedoms to choose which standard and specific features will be made available. This section is supposed to give you the correct information regarding how the camera is exported within the LIMA framework.
There is no initialisation to perform, just be sure your camera is switched on and connected on the computer via the USB cable.
This plugin has been implemented in respect of the mandatory capabilites .
It only supports Bpp16.
- Supported trigger types are:
Cooling method : Peltier cooling
Cooling temperature : Forced air (Ambient at +25 Celsius):-10 Celsius
The TUCam SDK allows accessing the temperature (R/W).
Roi parameters (x, y , width, height) must be power of 2 and > 32
There is no hardware support for binning.
There is no shutter control.
No Specific hardware configuration are needed
For a quick test one can use the python binding, here is a short code example:
from Lima import Dhyana from lima import Core import time cam = Dhyana.Camera() # Get the hardware interface hwint = Dhyana.Interface(cam) # Get the control interface control = Core.CtControl(hwint) # Get the acquisition control acq = control.acquisition() # Set new file parameters and autosaving mode saving=control.saving() pars=saving.getParameters() pars.directory='/tmp/' pars.prefix='test1_' pars.suffix='.edf' pars.fileFormat=Core.CtSaving.EDF pars.savingMode=Core.CtSaving.AutoFrame saving.setParameters(pars) # Now ask for 2 sec. exposure and 10 frames acq.setAcqExpoTime(2) acq.setAcqNbFrames(10) control.prepareAcq() control.startAcq() # Wait for last image (#9) ready lastimg = control.getStatus().ImageCounters.LastImageReady while lastimg !=9: time.sleep(0.1) lastimg = control.getStatus().ImageCounters.LastImageReady # read the first image im0 = control.ReadImage(0)