Persons who are curious about scientific cameras
A quick look inside the camera to understand how technology affects performance and capabilities
Figure 1. Schematic of a CCD image sensor.
Each pixel of the CCD image sensor (Figure 1) is composed of a photodiode and a potential well, which can be thought of as a bucket for photoelectrons.
A wavelength-dependent quantity of light hitting the sensor is converted into electric charge (photoelectrons). This wavelength dependent conversion of light to photoelectrons is conveyed through the quantum efficiency (QE) specification.
Figure 2. Photoelectrons are relayed down each row of pixels and charge gathered pixel-by-pixel, serially, in a container at the end of the relay.
Photoelectrons accumulate in each bucket until it’s time for readout, when all of the photoelectrons are relayed from one bucket to the next down each row of pixels (Figure 2). The charge is gathered pixel-by-pixel—serially—into a container at the end of the relay. Once in the container, the photoelectrons are converted into voltage and processed into an image on the camera circuit board.
Because the photoelectrons are converted into signal (voltage) at a common port, the speed of image acquisition is limited.
Figure 3. Schematic of an EM-CCD sensor.
Figure 4. Schematic of a CMOS sensor.
In contrast with CCD and EM-CCD sensors, each pixel of a CMOS image sensor (Figure 4) is composed of a photodiode-amplifier pair.
As in a CCD sensor, light hitting the CMOS sensor is converted into photoelectrons, with conversion efficiency (QE) dependent on wavelength. But unlike a CCD sensor, photoelectrons are converted into voltage by each pixel’s photodiode-amplifier pair. Because conversion to voltage happens in parallel instead of serially, as is the case for the CCD sensor, image acquisition can be much faster for CMOS sensors.
The optimized architecture of scientific CMOS sensors combines high QE with fast frame rates and low noise—without the noise factor introduced by the multiplication register of EM-CCDs.1 This combination of capabilities translates into high speed, high-resolution biological images, even in low light situations.
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