Super-Resolution MicroscopyFluorescence Microscopy

Super-Resolution Microscopy

Conventional light microscopy techniques are limited by the diffraction limit of light, preventing us from seeing anything smaller than approximately 200 nm in x and y and 500 nm in z. 

Many molecules and structures of interest require a higher degree of resolution than this to visualize, so it was necessary to develop a technique to break the diffraction limit to see them. There are now a significant number of super resolution techniques that break the diffraction limit of light such as localization based techniques (PALM/STORM), structural techniques (SIM/iSIM) and post-processing techniques (SRRF).

These techniques offer different advantages depending on the sample and application but typically require a scientific camera to have high sensitivity, high speed and high resolution with an additional advantage being granted by a large field of view.

Prime 95B

Extremely sensitive, 95% quantum efficient sCMOS camera with 11 µm pixels and EMCCD level detection.

Go beyond EMCCD for super resolution microscopy with the back-illuminated Prime 95B, which features an equivalent level of detection but with a faster speed, larger field of view and no EM-gain aging or excess noise.

The Prime 95B allows exposure times to be lowered significantly to increase acquisition speed and reduce photobleaching and photodamage to the lowest levels possible on an sCMOS camera.

To support the claim that the Prime 95B produces higher quality super resolution data than EMCCD, we collaborated with some of our customers to compare the localization accuracy of the Prime 95B to popular EMCCD cameras using STORM super resolution microscopy.

Tests were performed by the Shim group at Korea University who compared the Prime 95B to a 1024×1024 EMCCD. They used GattaPAINT80 surface immobilized DNA origami nanostructures labelled with Atto655 with three localization sites per structure spaced 80 nm apart.

They excited the nanostructures with 647 nm laser excitation with an approximate intensity of 2kW/cm2 and a 20 ms exposure time over 30000 frames in TIR illumination.

The calculated mean localization accuracy of the 1024×1024 EMCCD was 13.29 nm compared to the Prime 95B which was 9.24 nm, providing a 30% increase in localization accuracy. 

The mode of the localization accuracy also showed a considerable difference, 11 nm compared to 6 nm.

These results show that the Prime 95B provides a significant increase in localization accuracy over the 1024×1024 EMCCD camera.

Super Resolution Microscopy samples
Prime BSI photo

Prime BSI

High sensitivity, 95% quantum efficient, sCMOS camera with 6.5 µm pixels and
1.0 e read noise.

The high quantum efficiency and low read noise combined with the balanced
6.5 µm pixel size offers high sensitivity imaging whilst achieving Nyquist sampling with the most popular objective magnifications used for super resolution microscopy.

The Prime BSI offers an alternative to the Prime 95B when resolution is more important than extreme sensitivity.

Super Resolution Microscopy samples

Customer Stories

Super Resolution Imaging

Comparison of live cell imaging of FtsZ ring organization during bacterial cell division using a Prime BSI and an EMCCD camera.
Dr. Seamus Holden Newcastle University

“The thing that really impressed me is how uniform the sensor is – far fewer hot pixels, noisy pixels and stripes than the last generation of sCMOS cameras. I hardly see a use for EMCCDs anymore.”

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STORM Super Resolution Microscopy

Dr. Eli Rothenberg New York University, School of Medicine

“If you have a shorter exposure time, you can track faster kinetics. More sensitivity and shorter exposure times with the Prime 95B [Scientific CMOS camera] allow you to image faster and track kinetics better.”

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Super Resolution Microscopy

Dr. Kyle M. Douglass Suliana Manley Lab

“We can now more precisely locate each fluorescent dye that is targeting a protein within a complex [with the Prime 95B Scientific CMOS camera]. This has the effect of improving the resolution of our structural models, allowing us to see details inside these complexes that we could not before.”

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