Tuesday, June 16, 2020

Gpixel Announces 16.7MP BSI Scientific Sensor with 15um Pixels

Gpixel announces the further expansion of its GSENSE product family with the GSENSE1516BSI, a large format BSI CMOS sensor for high-end scientific applications. The sensor is designed around Gpixel’s 15 µm rolling shutter pixel, provides 4096 x 4096 resolution (16.7 MP), and supports up to 9fps in dual gain HDR mode.

Like other sensors in the GSENSE family, the GSENSE1516BSI can read out a single exposure with two different gain settings, providing two separate images that when recombined achieve up to 90dB intra-scene dynamic range. Using the low gain channel, the sensor’s full well capacity is 134ke–, maximizing signal to noise in the bright parts of the image. Through the high gain channel, the sensor achieves a read noise of 4e–, perfect for the measurement of faint signals.

The 15 µm pixel has 95% peak QE. Engineering samples of the GSENSE1516BSI will be available for evaluation in July 2020.


9 comments:

  1. What's the dark current and how does it compare to Kodak's Scientific image sensors KAF-16200 for example that ON took over?

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    Replies
    1. If you go to Gpixel website you will get the information about DC.

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    2. Hello, more product details can be found here: https://www.gpixel.com/products/area-scan-en/gsense1516bsi/.
      Reported dark current is 0.04 e-/s/pixel @ -50C.
      For more detailed information please contact us at info@gpixel.com.

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  2. Albert Theuwissen - Harvest ImagingJune 17, 2020 at 9:09 AM

    (In reaction to a post of SmartSens yesterday) This performance sheet at least shows some numbers and figure. I do not want to discuss about the quality of performance, but here we do have some data that allows a comparison with others. Thanks GPixel.

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    Replies
    1. You should be very proud to have Wang as student!

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  3. 95% peak QE at green may be the highest one in commercial products nowadays?

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  4. Why 34 pairs LVDS channels only give 9fps? What technology node is this?

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    Replies
    1. Let's assume that HDR implies 2x16bit values. t_frame = (16M x 2 x 16)/(125M x 34) = 120ms. Ergo 9fps.

      If it's plain 16bit output, 18fps should be obtainable.

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