The β-CUBE high-performance preclinical PET imager.

Sub-millimeter image resolution is achieved through the combination of monolithic scintillators, the latest photon counting technology and GPU-based event positioning and iterative image reconstruction.

The 5-ring configuration ensures best-in-class sensitivity over a field-of-view adequate for whole-body mouse and rat imaging at high count rate. In-house hardware allows for dynamic and gated studies.

Intuitive and wireless acquisition software combined with our multimodal small animal bed allow for easy and modular multimodal imaging along with the γ-CUBE (SPECT) and X-CUBE (CT).

β-CUBE preclinical PET imager specifications





  GP mouse protocol    
Field Of View
axial x transaxial
12mm x 30mm 35mm x 63mm 130mm x 72mm
Spatial Resolution
*general purpose mouse collimator
< 0,6mm 0,05mm < 1mm
Sensitivity 0,12% - > 10%
Reconstruction Code
on board GPU-based
over footprint of 54cm x 54cm
< 80kg < 100kg < 90kg

β-CUBE preclinical PET imager testimonials

Infinity Lab (Ghent University, Belgium)

Infinity Lab (Ghent University, Belgium)

Prof. Christian Vanhove is responsible for the day-to-day functioning of the preclinical INFINITY lab and the coordination of the partner research, either from within Ghent University, from private pharma or biotech companies.

Why choose Molecubes?

The lab will move to a new building in a few years from now. Luckily, the benchtop modular system allows me to move all 3 modalities at no extra cost or time loss for recalibration. The new lab will have less space, so I’m very happy that these benchtop systems exist today
without compromise on image quality.

How would you rate your experience with Molecubes?

The PET, SPECT and CT hardware and software proved to be very robust and reliable over the past year. To date, we have already imaged over 100 mice and rats effortlessly. Whenever we have a new request from a partnering lab, we can reach out to Molecubes for questions related to the specific projects.

What specific feature do you like the most?

All 3 modalities provide 1 convenient DICOM file to work with, there is no manual interaction needed for co-registration and still all CUBES can be used in stand-alone mode when needed. The whole process is automated and produces publication-ready images. To me, that’s true flexibility!

University of Pennsylvania, USA

University of Pennsylvania (UPENN), USA

The Small Animal Imaging Facility (SAIF) provides in vivo functional and anatomical  imaging and image analysis for cells, tissues, and small animals, primarily mice and rats, but also primates.

The assets of the SAIF include state-of-the-art instrumentation and a nationally recognized staff. The lab has a MOLECUBES PET/CT imager installed since June 2017.

Why choose MOLECUBES?

“The high performance made MOLECUBES an obvious choice for us, together with the clever design and excellent engineering. In addition, the option to use the CUBES individually or together was an important factor since our goal was to increase throughput of our small animal imaging facility. The long standing academic relationship with Ghent Group and trust in their capabilities made us take the final decision.”

How would you rate your experience with MOLECUBES?

“Delivery and install were on time as promised and very professional. Training was short and very effective, and users are very pleased with the system. Considering that we have the first CUBES to be installed outside of Ghent it is impressive how reliable they have proven and how effectively MOLECUBES is able to remotely handle a few initial problems.”

What specific feature do you like the most?

“We appreciate the simple and intuitive user menu and operation of each CUBE both separately and together. Using micro CT for attenuation correction and registration with PET is straight-forward. Separate CUBES allows multiple researchers to work simultaneously. Overall the CUBES operate reliably allowing on time scheduling of studies from different UPenn research groups. Finally, MOLECUBES is open and eager to gather users’ input to improve on their current and future features.” 


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