The FilterScan scans for yeast on a membrane filter, providing quality assurance data faster than any other method.
Direct imaging with the FilterScan counts every particle on a membrane filter – including viable but non-colony producing yeast – greatly increasing the accuracy of the quality assurance tests.
The FilterScan system eliminates the need for lengthy filter incubation and colony counting, providing critical results in a matter of minutes, instead of days.
Ensure that the bottling facility is optimized to peak performance, and that the filtered product is not contaminated, ensuring the wine quality and reducing the chance of recall.
Detect the presence of yeast on the membrane filter in minutes, not days.
Detect all yeast cells, including viable, but non-colony producing yeast, reducing the chance of a false-negative result.
Images are classified automatically and accurately, separating yeast from other particles. Clear images of yeast cells allows user to confirm the results.
Fully automated test with no complicated sample preparation, eliminating the need for filter incubation, without sacrificing test accuracy.
No expensive consumables. No expensive chemicals.
Easily share data with reports automatically generated for each scan, saved in Microsoft Excel.
Digital inline holographic microscopy in transmission
Single source, 405 nm
Automated two-axis with 120 mm of travel, controlled via USB connection
PC with Intel Core 7, NVIDIA GeForce or better graphics accelerator card
Gigabit Ethernet port required in the host computer
HoloScan software (included)
Windows 10, 64-bit
4 x 25mm filters can be loaded in the FilterScan at once
L x D x H: 406 mm x 391 mm x 348 mm, 25.3 kg
2048 x 2048 pixels (hologram)
Accurate, automatic cell identification based on deep neural network classification
Stage: 48V / 3.47A
Camera System: 12V / 3A
2 x 120VAC
Examples of the HoloScan software operation are shown here:
The large circle represents the filter, and each square represents one field of view image of the filter being scanned. The green squares represent the images already collected, and the white are yet to be scanned.
Here, the user-defined detection limit has been reached, and the software has given a warning that the filter is contaminated.
Results from the automated classification of the particles detected on the filter. Yeast cells were accurately detected by our custom image classifier.