K2 summit direct electron detector camera
The K2 Summit direct electron detector camera is a high-performance imaging device designed for use in electron microscopy applications. It features a direct electron detection technology that enables the capture of high-resolution images with improved signal-to-noise ratio and reduced radiation damage to samples. The camera's core function is to provide efficient and accurate data acquisition for various electron microscopy techniques.
Lab products found in correlation
20 protocols using k2 summit direct electron detector camera
Cryo-EM Data Collection Workflow
Cryo-EM Imaging of Ryanodine Receptors
Freeze Substitution and Resin Embedding for Electron Microscopy
Cryo-EM Sample Preparation Protocol
Cryo-EM Imaging of GPI-TA Complex
Cryo-EM Imaging of Biological Samples
Cryo-EM Analysis of AcrABZ-TolC Complexes
For the samples AcrABZ-TolC/MBX3132 and apo AcrAB-TolC, a 3 μl aliquot at a concentration of 2 mg ml−1 was applied onto glow-discharged holey carbon grid (Quantifoil Au R1.2/1.3, 300 mesh). The grid was blotted and flash frozen in liquid ethane using a Vitrobot IV (FEI) with constant temperature and humidity. The grid was stored in liquid nitrogen before imaging. Zero-energy-loss images of frozen-hydrated AcrABZ-TolC/MBX3132 or apo AcrAB-TolC particles were recorded automatically on an FEI Titan Krios electron microscope at 300 kV, using a slit width of 20 eV on a GIF Quantum energy filter and a Gatan K2-Summit direct electron detector.
The data collection parameters for all three specimens are summarized in
Cryo-EM Analysis of Protein Complex
Cryo-TEM Structural Analysis of Mla Complex
Movie frames were aligned with MotionCorr2 (Zheng et al., 2017 (link)) and the defocus parameters were estimated with CTFFIND4 (49). 333 high-quality micrographs were selected by manual inspection, from which ~ 55,000 particles were picked with DOG in Appion (Lander et al., 2009 (link)). Particle stacks were generated in Appion using a box size of 200 pixels. Several successive rounds of 2D and 3D classification were performed in Relion 2 (Scheres, 2012 (link); Kimanius et al., 2016 (link)) using an initial model generated by Common Lines in EMAN2 (53) leading to a final stack of ~14,000 particles for 3D structure refinement in Relion.
Cryo-ET Data Acquisition Protocol
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!