Cp980s

Manufactured by Thorlabs

Sourced in United States

The CP980S is a C-mount collimator lens module from Thorlabs. It features a 9.8 mm effective focal length and a clear aperture of 5.0 mm.

Automatically generated - may contain errors

Lab products found in correlation

Dmk 33up1300, by Imaging Source (4 mentions) Pcie 6353, by National Instruments (2 mentions)

2 protocols using cp980s

Automated Microscopy Hardware Control and etSTED Imaging

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Microscope hardware control is mainly performed through a National Instruments data acquisition (NI-DAQ) acquisition board (PCIe-6353, National Instruments). Hardware is controlled using microscope control software ImSwitch^{19 (link)} written in Python. Control of the etSTED method is performed using a custom-written widget and controller in ImSwitch, available at GitHub (https://github.com/kasasxav/ImSwitch and https://github.com/jonatanalvelid/ImSwitch-etSTED), which controls lasers, image acquisition, and runs real-time analysis pipelines with customizable parameters. Instructions on how to run etSTED imaging can be found in the GitHub repository of the standalone widget (https://github.com/jonatanalvelid/etSTED-widget), while instructions on how to run ImSwitch can be found in the repository on GitHub and corresponding documentation (https://imswitch.readthedocs.io).
A focus lock controlled with ImSwitch combining an infrared laser (CP980S, Thorlabs), a CMOS camera (DMK 33UP1300, The Imaging Source) and the z-piezostage through a feedback loop, as previously described^{5 (link)}, is used. It enables experiments to run stably for time periods longer than hours.
The microscope control computer contains a Ryzen 7 3700X CPU (AMD) and a GeForce RTX 3060 Ti GPU (ASUS).

Alvelid J., Damenti M., Sgattoni C, & Testa I. (2022). Event-triggered STED imaging. Nature Methods, 19(10), 1268-1275.

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Customizable etSTED Microscope Setup

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General control of the hardware in the microscope is performed using a NI-DAQ acquisition board (PCIe-6353, National Instruments, Austin, TX, USA). All hardware equipment is controlled with microscope control software ImSwitch 13 written in Python. Control of the etSTED method is performed using a custom-written widget and controller in ImSwitch, available in GitHub (https://github.com/jonatanalvelid/ImSwitch-etSTED), that controls the lasers, image acquisition, and runs the real-time analysis pipeline with customizable parameters to adapt to sample-specific conditions.
Additionally, a focus lock that combines an infrared laser (CP980S, Thorlabs, Newton, NJ, USA), a CMOS camera (DMK 33UP1300, The Imaging Source Europe, Bremen, Germany), and the zpiezo through a feedback loop is coupled into the beam path just before the microscope stand. It is controlled with ImSwitch and allows for experiments to run without manual control for prolonged periods of time.
The PC used to control the complete microscope contains a Ryzen 7 3700X 8-core CPU (AMD, Santa Clara, CA, USA), and a GeForce RTX 3060 Ti TUF GAMING OC GPU (ASUS, Taipei, Taiwan).

Alvelid J., Damenti M., & Testa I. (2021). Event-triggered STED imaging.

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