A couple of people have contacted me with problems posting. I just replaced our old self-signed certificate with an official SSL certificate, so I’m hoping that fixes these problems. If you’ve had problems commenting previously, can you try making a comment on the post and email me with the error message if it fails?
It’s been a long time since I posted – I’ve been kept busy with many things here, one of which has been demoing a new spinning disk confocal for the shared instrumentation grant we were recently awarded. Last week we demoed the Borealis CSU-W1, which performs very well. The Borealis upgrade really does result in impressive light delivery to the sample – with 150 mW lasers, we were getting about 25 mW of light at the sample. Even with the large field of view of the CSU-W1, this is way more light than we need to image samples. This is good because it means we can save on hardware by buying cheaper low power lasers.
While we were doing the demo, we took advantage of the dual camera ports on the CSU-W1 to compare different cameras. In particular, we compared the Zyla 5.5 to the Zyla 4.2. I’ve known that the Zyla 4.2 is the more sensitive camera on paper (going from 5 to 4 transistors per pixel improves the quantum efficiency from ~60% to ~72%) but I didn’t realize just how much a difference this makes in practice. Below, you can see images from both cameras. These were acquired one after the other with the same laser power and exposure time, and the images are autoscaled to saturate the brightest and darkest 0.01% of the pixels).
Image from the Zyla 4.2 camera
Image from the Zyla 5.5 camera.
- An implantable CMOS sensor for brain imaging 
- Using the same dye multiple times for STORM imaging by bleaching and restaining 
- Multiplexed single molecule FISH to follow many RNA species simultaneously 
- A review of protein labeling methods for imaging 
- An imageJ plugin for tracking cell migration and membrane protrusion 
- An enzyme-catalyzed method to covalently label genetically tagged RNAs 
- Fusion of imaging mass spectrometry and microscopy data 
- A review and protocol for FRAP data acquisition and analysis 
- Labeling proteins using an expanded genetic code 
- A light sheet microscope with computer control of sheet thickness by using a telescope made up of electrically tunable lenses 
- A protocol for labeling proteins using unnatural amino acid incorporation and click chemistry 
- A line-scanning confocal using the pixel rows on an sCMOS camera as a virtual slit 
- A system for doing high-throughput fluorescence correlation spectroscopy 
- Multi-color luciferases bright enough for microscopy 
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