PyLabRobot @pylabrobot
A Python SDK for controlling bio labs github.com/PyLabRobot/pyl… GitHub Joined April 2024-
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Inheco and Tek-Matic now officially support PLR! We have had a great experience integrating and using Inheco devices in the past. We will now work with Inheco (and their distributor Tek-Matic) directly to write nice universal Python APIs for all of their machines.
I’ll be giving a talk on @pylabrobot at LRIG on October 9 in South San Francisco Please come!
We have a first official/public OEM supporter! Details soon
when doing phase contrast imaging, your microscope has to switch to the phase ring which is expensive (~4s on cytation5) if you are imaging phase + other non phase filters, you can save ~4s every other well by keeping the filter in place between wells (about 3 min per plate)
PyLabRobot is a language for expressing scientific intent.
starting/stopping acquisition mode takes ~400ms per image this saves energy and data on wire, but costs times if you take 4 images per well, manual control can save (4-1)*400 = 1.2 seconds per well (~2 min per plate) useful for bulk imaging
starting/stopping acquisition mode takes ~400ms per image this saves energy and data on wire, but costs times if you take 4 images per well, manual control can save (4-1)*400 = 1.2 seconds per well (~2 min per plate) useful for bulk imaging https://t.co/O9xaCcDLFG
deleted another 40ms per image capture by not converting/deconverting to list... (autofocus does 10-15 captures, already 10x less than gen5.exe!) so about half a second removed per well w/ AF, which adds up!
deleted another 40ms per image capture by not converting/deconverting to list... (autofocus does 10-15 captures, already 10x less than gen5.exe!) so about half a second removed per well w/ AF, which adds up! https://t.co/nGNiN7bnIv
another 15% faster by rounding cache key to tolerance, improving hit rates it now takes around 50% as long as the original implementation
another 15% faster by rounding cache key to tolerance, improving hit rates it now takes around 50% as long as the original implementation https://t.co/hjunLKqNjC
in my tests PLR autofocus (on Cytation 1&5) is 35%-40% faster now
The ThermoFisher ProFlex is now supported in PLR thanks to @boqiangtu! This is massive since there is not even OEM software for the proflex, meaning the only way to externally interface with it is through PLR
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