Lambert sCMOS


The Lambert sCMOS offers a simple, affordable and efficient imaging solution for scientific research, R&D and industrial applications.

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Lambert sCMOS


The Lambert sCMOS offers a simple, affordable and efficient imaging solution for scientific research, R&D and industrial applications.

Lambert sCMOS

Effortless scientific imaging

The Lambert sCMOS offers a simple, affordable and efficient imaging solution for scientific research, R&D and industrial applications.

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Excellent light sensitivity

The Lambert sCMOS features an sCMOS sensor that captures detailed images. Thanks to its excellent light sensitivity, the Lambert sCMOS captures up to 100 frames per second even under challenging low-light conditions.

Automatic configuration

The Lambert sCMOS automatically finds the optimal camera settings and captures detailed low-light images thanks to its automatic exposure control and on-the-fly image correction.

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Applications


Applications


Applications

 
  • Biomedical imaging

  • Scientific research

  • Machine vision

  • Industrial imaging

  • Low-light imaging

  • Microfluidics

  • Spinning-disk confocal microscopy

  • Light sheet microscopy

 

Bright field recording of waterweeds (Elodea) sample imaged at 100 fps (4 ms exposure time) at 1280 x 1024 pixels. Playback at full speed (100 fps) followed by 4x slow-motion (25 fps).

Recorded at the Institute for Life Science & Technology, Hanze University of Applied Sciences.

Fluorescence (FITC filter cube) recording of waterweeds (Elodea) sample imaged at 175 fps (4.6 ms exposure time) at 800 x 600 pixels. Playback at full speed (175 fps) followed by 7x slow-motion (25 fps).

Recorded at the Institute for Life Science & Technology, Hanze University of Applied Sciences.

Features


Features


Features

 
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Advanced image sensor

Excellent light sensitivity

The Lambert sCMOS features an advanced image sensor with excellent light sensitivity. Even in the most challenging light conditions it captures detailed images.

 

High quantum efficiency

With a quantum efficiency of over 80% between 550 nm and 675 nm, the Lambert sCMOS has an excellent spectral sensitivity in the visible part of the spectrum.

Over

80%

Quantum efficiency

 

Low light, high speed

Thanks to the low-light capabilities of its image sensor, the Lambert sCMOS records detailed images at frame rates up to 100 fps even in challenging low-light conditions.

100 fps

at full resolution

 

 

Specialized software

Easy image acquisition

With the Lambert Instruments Capture software, it is easy to record images and videos. Users can record, trim, analyze and export image data in widely supported image formats that are compatible with popular imaging platforms like Fiji/ImageJ.

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Automatic image optimization

Automatic exposure and gain control adapt the camera configuration to match the current light conditions. And on-the-fly image correction and contrast enhancement ensure optimal image quality.

In manual mode, users can fine-tune all camera settings for advanced applications that require quantitative image data.

Flexible file format

The Lambert Instruments .fli file format is compatible with ImageJ/FIJI. Simply drag a .fli file into ImageJ to analyze and process your images.

 
 Capture

Capture

 FIJI

FIJI

 
 

Specifications


Specifications


Specifications 

Specifications are subject to change without prior notice.

 

Camera

Frame rate of up to 100 fps at full resolution

Camera Link computer interface (Base 8 and 10 bit)

Micro-USB power supply

CS lens mount

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Image sensor

1280 x 1024 pixels

9.7 x 9.7 um pixel size

Rolling shutter

10 bit pixel bit depth

> 25 000 e- full-well capacity

> 60 dB dynamic range

< 4 e- med. readout noise

Typical quantum efficiency (%)

Typical quantum efficiency (%) as a function of wavelength (nm)

Frame rates

(8 bit mode)

100 fps at 1280 x 1024 pixels

145 fps at 1024 x 785 pixels

175 fps at 800 x 600 pixels

218 fps at 640 x 480 pixels

328 fps at 480 x 320 pixels

410 fps at 256 x 256 pixels

820 fps at 128 x 128 pixels

1640 fps at 64 x 64 pixels