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- #Andor solis software how to#
- #Andor solis software generator#
- #Andor solis software manual#
- #Andor solis software code#
I thought that since the SDK will only understand functions which are predefined by ANDOR, the current andor_solis file functions should be for SDK2. Also what I understood from the andor_solis file that the functions defined there, are passed to the SDK in the def uint_winapi(argtypes=): function.
#Andor solis software code#
So I became almost sure that this code is for SDK2.
#Andor solis software manual#
That manual had entire description of all the functions defined in the andor_solis file. Now I got a bit suspicious so I searched for SDK2 manual and I found one online. I had also uploaded that comparison table in one of my previous posts. Doing this I came across a file from ANDOR themselves which clearly mentions the difference between SDK2 and SDK3 and there is where I saw some of the functions defined in the andor_solis file as SDK2 functions. This left me puzzled so I tried to see if there is any other manual for SDK3 which has any other description.
#Andor solis software how to#
Then it also tells how to call the functions for setting those features. Rather it mentions features which can be used and also which of them are ZYLA specific. I thought it was SDK2 and not SDK3 because the manual which came with our purchase of SDK3 did not have any mention of the functions that are defined in the andor_solis file. I would like to tell you why I thought its SDK2 and not SDK3.
#Andor solis software generator#
This exact issue is why I generally like to go through the extra effort of cython for my camera wrappers since it is easy to make a fast, python-compatible generator function for image streaming. Given that it is just a ctypes wrapper, it may also be difficult to do well, depending on exactly how the API works and what functions are available through it.
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I don't think the AndorSolis wrapper in labscript is set up for it at the moment. This isn't always a trivial thing to do, though all camera APIs support it in some fashion since that's how videos work. It would be better to setup and call acquire once, get a stream of images via a generator through the TL, then stop acquiring at the end. Obviously this is extremely inefficient if you are trying to take a series of images, especially since it is largely in pure python (not the compiled C of the dll). This method configures the acquisition, calls acquire(), takes a single frame, reads it out, then does the acquisition stop cleanup. The way the labscript code you are using works for manual acquisition is to call the snap() method repeatedly. My recollection for our Zyla over USB3 was that the start/stop overhead time was at least 200ms The Andor API also takes it's sweet time stopping acquisition (basically undoing many of those changes and going back to steady state). In the case of the Andor API, calling acquire() is when the TL gets configured and incurs a significant overhead (basically the camera/API can be a little slow doing all the necessary optimizations for data transfer). Things like: how many frames are being captured, how much of the sensor is being used, are kinetics being employed, is the shutter global or rolling, is the sensor a CCD or CMOS, which interface is being used (USB3, GigE, CL)? As a result, when you want to take images, you need to tell the camera all of these things then tell it to start acquiring. In order to get the fastest frame rates, these TLs need to make a number of optimizations depending on the specifics of each acquisition. This requires a fair bit of clever, asynchronous code that essentially runs in the background from the configuration and triggering code.
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In order to enable fast frame rates in cameras, their APIs have to implement a high-speed data transfer layer (TL) to receive the images as they are being captured.