Our mission


Worldwide, the incidence of cancer is growing, as life expectancy increases. Current imaging tools have their limitations as they are not suitable to provide the necessary information during diagnosis. Scinvivo aims to revolutionize cancer diagnostics and care by providing medical professionals with the next gen minimal invasive imaging platform. This imaging platform fills the gap that is left open by the current imaging technologies, as current technologies are unable to show the anatomical structure of the tissue during endoscopic procedures.

The platform enables real time imaging of the tissue structure below the surface. The incredible resolution, of only a few micrometers, allows the detection of very early tumors which are smaller than 1/10th of a mm.

The Scinvivo imaging platform makes one stop diagnosis and treatment possible. Combined with AI, a powerful diagnosis tool is created, which can distinguish between different benign and malign tissue types. Finally, photonics based localization enables robotic surgery.



The imaging platform will significantly increase the quality of the diagnosis, reduce the burden on patients and reduce the costs for the healthcare system.

Scinvivo solves unmet needs for Payers, Patients and Doctors


Best possible care for patients, while costs are reduced

Improved quality of life by reducing invasive surgeries

Improved cancer diagnosis and treatment

Our solution


Scinvivo first focusses on the medical needs in bladder cancer. Scinvivo’s forward-looking OCT-catheter provides the answer by giving urologists real time ultra high resolution (a few micrometers) insight in the anatomical structure during diagnosis (cystoscopy).


During cystoscopy, only the surface of the bladder wall is visible. Getting insight into the anatomical structure is crucial for a fast and better diagnosis.



Using Scinvivo's OCT catheter addresses directly the unmet needs in bladder cancer diagnosis & care:

1. differentiating between non-invasive (TIS - T1) and muscle-invasive bladder cancer(T2 - T4) as early as possible in the diagnostic process (a faster diagnosis increases the survival chances up to 30%),

2. the follow-up monitoring of BC patients to reduce the number of unnecessary surgeries caused by false positives (up to 50% of the surgeries).



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Classical cystoscopy image on which a tumor is visible





During cystoscopy, only the surface of the bladder wall is visible. Getting insight into the anatomical structure is crucial for a fast and better diagnosis.


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Different stages (TIS-T4) of bladder cancer

Our Product

Our product offering consists of a single use catheter and a base station. All individual catheter parts are tested and now combined into a catheter with an outer diameter of 2.5 mm (7.5 Fr).


The forward looking OCT catheter allows the medical professiona; to capture a cross section of the tissue with a field of view of 5 mm and a depth of 2-3 mm. The working distance from the tip of the catheter to the tissue is ~10 mm. Artifacts in the image due to body movements are reduced to an absolute minimum by means of a refresh rate >>25Hz. Furthermore, the catheter is single use preventing cross patient infections.





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S-Vision is the software developed by Scinvivo for providing high quality OCT images to the medical professional. By using filter techniques, interlacing, and other image enhancement techniques high quality images are displayed.


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The forward looking OCT catheter allows the medical professiona; to capture a cross section of the tissue with a field of view of 5 mm and a depth of 2-3 mm. The working distance from the tip of the catheter to the tissue is ~10 mm. Artifacts in the image due to body movements are reduced to an absolute minimum by means of a refresh rate >>60Hz. Furthermore, the catheter is single use preventing cross patient infections.



S-Vision is the central software on the base station for capturing and visualizing high quality OCT images for the medical professional. Snapshot images can be saved with the high level location information. Also the real time image capturing can be stored in a movie file for desk analysis in order to estimate the tumor size or applying enhanced filter techniques.




The forward looking OCT catheter allows the medical professiona; to capture a cross section of the tissue with a field of view of 5 mm and a depth of 2-3 mm. The working distance from the tip of the catheter to the tissue is ~10 mm. Artifacts in the image due to body movements are reduced to an absolute minimum by means of a refresh rate >>25Hz. Furthermore, the catheter is single use preventing cross patient infections.

In the image below the first results of our second generation OCT probes is visible. An OCT image (left) made with one of our probes of porcine bladder tissue (right). The different layers of the bladder wall are clearly visible, as well as small blood vessels running through it.


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Our team


Maaike de Jong

Maaike de Jong

CTO

Maaike de Jong has worked as CTO for Scinvivo since it was founded. As CTO, she is continuously developing the imaging platform and arranging the (pre)-clinical trials. Next to that, she secures funding for Scinvivo in the form of grants, loans, and new investments. She holds a MSc in Biomedical Engineering and worked in Boston at Massachusetts General Hospital to specialize in Optical Coherence Tomography and its endoscopic applications. Maaike has an extensive international netwerk regarding OCT technologies and urology.

She has a strong belief that the imaging platform Scinvivo develops will be a game changer in cancer diagnostics. She is not afraid of a challenge, and is always looking for new information that will help in increasing the success of the imaging platform.

Marijn van Os

Marijn van Os

CEO

Marijn van Os is CEO at Scinvivo, since October 2019 and co-founded of Scinvivo in 2016. As an entrepreneur he also founded Innoluce in 2010 as a spin-off of Royal Philips, including acquiring the main MEMS mirror IPR. Marijn successfully managed the acquisition of Innoluce by Infineon in 2016 for the automotive applications. Prior to this acquisition the medical assets, IPR and knowhow was transferred to Scinvivo. Marijn holds a PhD in mechanical engineering and continued his working career at Philips where he held different positions as technologist and development manager within The Netherlands and in the Czech Republic. Marijn has an extensive international network in the MEMS space and in the medical space for Urology.

Marijn is always looking for opportunities to improve and challenge the status quo and as such he is convinced that with the solution of Scinvivo the unmet needs in the cancer diagnostics & care will be improved significantly for all stakeholders, but in particular for the patients.

Camile van der Heijden

Camile van der Heijden

COO

Camile van der Heijden joined Scinvivo in June 2018 and was appointed as COO in november 2019. Camile studied Biomedical Engineering (Bachelor) and Medical Engineering (Master). Camile holds a PDEng title Qualified Medical Engineer from the Stan Ackermans Institute. Prior to working for Scinvivo, Camile was employed at the Maxima Medical Center. There he worked on designing an improved educational simulation environment for use during training of the Neonatal Invasive Care Staff. Camile has a great network in the medical field in the Netherlands and is able to oversee the impact of product design on the medical regulatory application.

He believes technology has the potential to change lives for the better and it inspires and motivates him to help make that potential a reality. Scinvivo’s product is a prime example of this core belief: technology that can mean the difference between life and death.

Malak Aljourishi

Malak Aljourishi

Medical Imaging Engineer

Malak Aljourishi joined Scinvivo as a Medical Imaging Engineer. Her role is to implement image processing algorithms for OCT data acquired by Scinvivo catheter. She contributes to the design of graphical user interfaces for clinical specialists. She holds a master degree in Biomedical Engineering, and has working experience in both the Netherlands and Germany. She worked at the AUMC where she used image processing techniques to visualize lesion properties after brain strokes.

She is convinced that imaging enhancement techniques and AI will improve cancer diagnostics, and that Scinvivo will turn this into reality. She loves learning new programming languages and using them to develop a user interface that will be intuitive to doctors all over the world.

Contact us


We would be happy to tell you more about our products


Our location

Torenallee 20 5617 BC Eindhoven

Call us

+31 6 4609 3997

Mail us

info@scinvivo.com