pco.edge 9.4 bi CLHS sCMOS Camera
The pco.edge 9.4 bi CLHS is our first sCMOS camera with photon counting capabilities for challenging and demanding microscope methods like Lightsheet Fluorescence Microscopy (LSFM) and Structured Illumination Microscopy (SIM). This sCMOS camera combines an extremely low readout noise of 0.3 e- with a quantum efficiency of up to 85% with a broad spectrum out to NIR. The sensor incorporates microlenses and a full pixel height deep trench isolation for crosstalk suppression, resulting in an excellent modulation transfer function. The camera provides a large image circle using a high-resolution 9.4MPixel image sensor with a square pixel size of 4.6µm. The camera is equipped with four CLHS FOL channels – all aligned in one compact plug – capable of transmitting up to 4.9 GByte/s.
With low readout noise values, the pco.edge 9.4 bi CLHS can capture light with photon counting sensitivity and use even the smallest signals to gain information about the imaged samples. With its image sensor diagonal of 21.6 mm the camera offers a large image circle suitable for a wide range of applications in microscopy. Due to its rectangular layout, the pco.edge 9.4 bi CLHS can also be used for two-color applications that use image splitters.
To help identify the perfect lens solution and PCO camera for your imaging and machine vision requirements, try our MachVis Lens Selector tool.
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Interface |
CLHS FOL |
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Sensor technology |
sCMOS |
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Color type |
monochrome |
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Resolution |
4096 x 2300 pixels |
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Sensor diagonal |
21.6 mm |
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Pixel size |
4.6 x 4.6 μm |
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Maximum frame rate @ full resolution |
122 fps |
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Peak QE |
85 % @ 500 nm |
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Typical readout noise1 |
0.4 e- @ fast scan |
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Dark current @ sensor temperature |
0.4 e-/pixel/s @ +10 °C |
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Maximum dynamic range |
20,000 : 1 |
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Shutter type |
Rolling Shutter |
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Sensor cooling2 |
air & water |
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Dimensions (H x W x L) |
95 x 90 x 109 mm |
1 The readout noise values are given as median (med). All values are raw data without any filtering.
2 Air forced with fan | water = external water connection
- Brightfield microscopy
- Fluorescence microscopy
- Digital pathology
- Single molecule localization microscopy (SMLM)
- Light sheet fluorescence microscopy (LSFM)
- Selective plane illumination microscopy (SPIM)
- Structured illumination microscopy (SIM)
- Raman spectroscopy
- Calcium imaging
- Förster resonance energy transfer (FRET)
- Fluorescence recovery after photobleaching (FRAP)
- High-speed bright field ratio imaging
- High throughput screening
- Opthalmology
- Biochip reading
- Total internal reflection fluorescence microscopy (TIRF)
- 3D metrology
- Industrial quality inspection
- Wafer inspection
- Image intensifier imaging
- Intravital microscopy
- Inspection
- Material testing
- Biometrics
- In-vivo microscopy
|
|
|
|
Interface |
CLHS FOL |
|
Sensor technology |
sCMOS |
|
Color type |
monochrome |
|
Resolution |
4096 x 2300 pixels |
|
Sensor diagonal |
21.6 mm |
|
Pixel size |
4.6 x 4.6 μm |
|
Maximum frame rate @ full resolution |
122 fps |
|
Peak QE |
85 % @ 500 nm |
|
Typical readout noise1 |
0.4 e- @ fast scan |
|
Dark current @ sensor temperature |
0.4 e-/pixel/s @ +10 °C |
|
Maximum dynamic range |
20,000 : 1 |
|
Shutter type |
Rolling Shutter |
|
Sensor cooling2 |
air & water |
|
Dimensions (H x W x L) |
95 x 90 x 109 mm |
1 The readout noise values are given as median (med). All values are raw data without any filtering.
2 Air forced with fan | water = external water connection
- Brightfield microscopy
- Fluorescence microscopy
- Digital pathology
- Single molecule localization microscopy (SMLM)
- Light sheet fluorescence microscopy (LSFM)
- Selective plane illumination microscopy (SPIM)
- Structured illumination microscopy (SIM)
- Raman spectroscopy
- Calcium imaging
- Förster resonance energy transfer (FRET)
- Fluorescence recovery after photobleaching (FRAP)
- High-speed bright field ratio imaging
- High throughput screening
- Opthalmology
- Biochip reading
- Total internal reflection fluorescence microscopy (TIRF)
- 3D metrology
- Industrial quality inspection
- Wafer inspection
- Image intensifier imaging
- Intravital microscopy
- Inspection
- Material testing
- Biometrics
- In-vivo microscopy