News


2.9.2022: We finally got our ISO 13485 certificate from URS.

4.6.2022: From now we can save images/videos to DICOM format and store it to PACS system (Orthanc for example).

24.5.2022: We exhibited at ENT congress Wroclaw, it was not planned but the impression is great, thanks to all!

4.4.2022: Meet us at ENT conferences: 8-10.6 in Brno, 21–23.9 in Graz, 27–29.10 in Mannheim.

18.12.2021: GDT 3.0 support added to our software


Support:

For instant support please use chat icon in bottom-right corner. With more complex questions please contact us by email. We answer in 24 hours.

Contact Info:

  • Kettex Development s.r.o.
  • Pod vodárenskou věží 4, Prague
  • Czech Republic
  • E-mail: info@kettex.eu
  • Cell phone: +420 728 526 720


These features distinguish us from competitors.

ExView

Blue filter for better image contrast

Equipment: Kettex EVision Cam, Storz Zoom Laryngoscope 9mm 70 deg , MGB HD Zoom lenses, Photonic lighsource
Original images Exview images


Fibroscopic grid correction

Our software is able to remove fibroscopic grid and preserve all the data at the image. We do it on live stream at 25 fps, so the image remains fluent. The filter neither add nor delete any information at image.

Machida ENT-30FC diam 2.1mm
Machida ENT-30PC diam 3.2mm



Noise reduction

If the image is noisy (there is not enough light from light source) we can remove the noise easily in real time. No relevant information is deleted and the image is much more pleasant for human eyes then.

Equipment: Kettex EVision Cam, Storz Zoom Laryngoscope 9mm 70 deg , LenOptec lenses, ShenDa Light Source
Image captured without noise reduction Image captured with noise reduction



GDT, DICOM, PACS Support

GDT (Geräte-Daten-Transfer) support - our app can get metadata from patient system via GDT and can send back captured data.
DICOM support - our app can save data(images/videos) to DICOM format including metadata.
PACS support - we support communication with PACS server (tested with Orthanc). All captured data can be automatically uploaded to the hospital server.