12th March, 2021, Changchun, China – Gpixel presents GLUX9701BSI, a 1” sized, high sensitivity BSI sCMOS image sensor with a resolution of 1.3 MP (1280 x 1024) and large 9.76 μm x 9.76 μm pixels. The sensor is the first in a new family targeting extreme low-light imaging for both surveillance and scientific use. Enhanced low noise technology combined with best-in-class BSI QE enables video in starlight conditions or low-light scientific imaging at high frame rates.
GLUX9701BSI supports a dual-gain HDR mode, achieving dynamic range of 90 dB by combining 1.5 e– RMS read noise and 50 ke– full well charge. A dedicated low noise mode further optimizes imaging performance with read noise of 0.8 e– and power consumption of only 180 mW. Dedicated circuit and process engineering improves noise uniformity of GLUX significantly over previous sCMOS models with a close to Gaussian noise distribution behavior as can be seen in below figure.
The sensor offers two types of data output: 4 channel sub-LVDS and MIPI (CSI-2, D-PHY). The default frame rate at HDR of 30 fps can be achieved using both channel options with dedicated operation modes achieving frame rates of up to 120 fps. Various operating functions are available including master mode, slave mode, and standby mode.
GLUX9701BSI is assembled in an 84-pin CLCC package with compact outer dimensions of 22 mm x 22 mm. Both removable and sealed glass lid variants are available as standard options.
Figure below shows low light image comparison between GLUX9701BSI (left) and GSENSE2020BSI (right), both at 25 fps with <0.01 lux light intensity (measurement equipment limited).
First engineering samples and evaluation boards will be available at starting April, 2021. Please contact firstname.lastname@example.org or visit our website products page https://www.gpixel.com/products/ for more information.
About GLUX sensor family
The GLUX family is a new Gpixel BSI sCMOS image sensor series combining sub-electron noise performance with high frame rates for ultra-low light imaging addressing needs in both scientific and surveillance applications.