Discover the latest SPAD512² v1.50 update packed with enhanced gating, advanced FLIM capabilities, flexible image sizing and more!
Lausanne, August 28, 2024 — We are happy to announce a major software upgrade for our SPAD512² cameras. We are introducing several new features in version 1.50, such as improved gating, FLIM, HDR and many more. Check out the highlights below:
Now supporting a greatly enhanced range of acceptable laser frequencies in gated imaging mode. We extended the range all the way down to 1kHz (from 10MHz), this benefits all users that are interested in longer lifetimes (phosphorescence) and that have lasers with slower repetition rates. We also improved the calibration methods to find the offsets between the two halves of the sensor and determine the characteristics of the gate profile.
A much looked for option is the possibility to decrease the image size, such as to increase the frame rate. It is now possible to adapt the image width from 512 down to 4. This could increase the frame rate in 1-bit mode up to over 10Mfps!
We improved the FLIM functionalities, now also supporting the lower frequencies as in gated imaging mode for longer lifetimes. We worked tirelessly to improve the FLIM calculation performance and enhance the user experience with more intuitive graphs, such as the density phasor plot.
A completely new feature is exposure bracketing to create images with an extended dynamic range. We now enable firmware support to load different integration times in a single measurement to create images with different exposures as close together as possible. This features is still in an experimental phase and will be enhanced in coming updates.
There are several overall improvements ranging from the acquisition performance to the various calibration steps. The images are now by default pile-up corrected, enabling better corrections for image uniformity and noise. During acquisitions, the various processing steps have been optimized to generate a more consistent and overall more reliable data processing. When saving or streaming the images, the images are no longer stored in the systems RAM, leading to faster acquisition times especially in long sequences. This also enables the possibility to acquire much longer image sequences.