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K8 Scientific CMOS Camera

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For Life Science Imaging Applications and Analysis

The K8 Scientific CMOS microscope camera offers a cutting-edge solution for the most challenging live-cell experiments. In an environment where sensitivity is everything, the K8 camera helps you capture more data* from your sample, thanks to a 95% quantum efficiency (QE) back-thinned CMOS sensor.

The K8 allows you to capture razor-sharp THUNDER images even in extreme low light imaging conditions, helping you to realize the full potential of your system. The K8 camera’s combination of extremely low read noise, minimal sensor artifacts and high QE allows you to extract quantifiable data from your sample while exposing it to the minimum of phototoxicity. 

Gain the confidence to push the limits of your experiments with cutting edge sensor technology. Whether you need to capture stunning high-resolution images, carry out extreme low-light tracking of subcellular organelles or image high-speed cellular processes, the K8 can handle a wide range of challenging applications.

K8 Scientific CMOS Camera

K8 Scientific CMOS Camera

Capture more data* from your sample

Live cells respond by activating stress pathways when they are exposed to the high-intensity light that is typically used for fluorescent imaging. 

The K8 camera’s increased camera sensitivity makes it possible to use lower light doses* to capture images, thus improving cell viability and allowing you to extract meaningful data from your sample for longer.

The K8 camera’s market-leading 95% QE sensor offers exceptional photon detection, allowing you to push your experiment further.

*Than achievable with legacy 80% QE CMOS cameras.

Razor-sharp THUNDER images even in extreme low light conditions

Unlike fixed samples, where users typically need to take a single image of a sample stained with photo stable dyes, live-cell imaging experiments require hundreds or even thousands of images of a photo sensitive sample to acquire a time lapse sequence. In order to get relevant results, it often becomes necessary to use much shorter exposures and lower excitation intensities to prevent photo damaging the sample, resulting in low signal to noise ratio (SNR) images.

The less light you work with on your samples, the lower the SNRs, and this is when the K8 camera truly displays its cutting-edge power, delivering razor sharp images even in extreme low light conditions. The K8 camera empowers your research through computationally enhanced THUNDER images with reduced artefacts at even lower light levels than previously possible.

Push the limits of your experiments

Take advantage of AI-enhanced clarity and accuracy enabled through the powerful combination of THUNDER and Aivia to analyze fluorescent images with greater accuracy, even when using low light excitation.

Leica offers a unique trilogy of technologies in the form of the K8 scientific CMOS microscope camera, THUNDER and Aivia that enables you to truly push the limits of your research while still extracting high quality quantifiable data from the images.

COS7 cells

THUNDER-enhanced image of COS cells stained with DAPI (blue), microtubules (green), Mitochondria (red) and E-Cadherins (Grey).

Rat brain

Rat brain

MDCK cells

MDCK cells
K8 Scientific CMOS Camera
For Life Science Imaging Applications and Analysis
What is a CMOS sensor/camera?
The term CMOS refers to a type of image sensor. The two main type of image sensors commonly used in cameras today are CCDs (Charge Coupled Device) and CMOS (Complementary Metal Oxide Semiconductor). Both are two-dimensional arrays of pixels; each pixel records the amount of light in a different region of the image. CCD and CMOS sensors have different electronic layouts which confer differ properties on each sensor type. A few years ago, CCD sensors were preferred for scientific imaging applications as they offered better image quality. However, recent advances in CMOS sensor design enable them to capture high-quality images that are comparable to CCD sensors while also offering additional performance benefits.
What are the advantages of a CMOS cameras?
The most important attributes of a sensor are noise levels and quantum efficiency (QE) which together determine a camera’s sensitivity, the number of pixels (resolution) and frame rate. These properties are all interconnected and determined by the architecture of the image sensor. Read noise levels increases the faster the read-out node processes the data from each pixel. Increasing the sensor resolution or frame rate increases the read-out speed, resulting in higher noise levels and decreased sensitivity. CCD sensors typically contain a single read-out node whereas CMOS sensors contain thousands. Due to their inherent bottleneck that develops as the frame rate increases, so does the read noise of a CCD sensor. In CMOS sensor architecture, this bottleneck does not exist, as they are able to read out more pixels at higher frame rates while maintaining a very low read noise. Recent advances in CMOS design have increased quantum efficiency, while offering lower noise, improved frames rates, resolution, and dynamic range compared to CCD sensors.
What is a Back Side Illuminated (BSI) CMOS sensor?
CMOS sensors are made from silicon wafers. As the light strikes the silicon, a charge is built up by a process called the photovoltaic effect. Photons only penetrate a few microns into the silicon, so the photovoltaic charge only accumulates on the surface. In order to move this charge to the read-out nodes, a thin layer of electronics is required. To manufacture the sensor, a layer of electronics must be applied to the photosensitive surface, but this blocks some of the light from reaching the silicon. Micro lenses can increase the QE of a front illuminated sensor, enabling a maximum QE value of around ~80%. Back-thinned or Back Side Illuminated (BSI) sensors overcome this limitation by polishing away the thick layer of excess silicon sensor on the back of the sensor and flipping the sensor round so that the “back” of the sensor is exposed to light. As the silicon is so thin, the electronics on the other side are still able to move the accumulated charge to the read-out node. As back-thinned sensors no longer have a layer of electronics between the photo sensitive silicon and the incoming light, the QE can increase up to 95%, offering significantly greater sensitivity.