Elevating Greek Startups against COVID 19 (2022)
The enterprise MORPHE ΙΚΕ has joined the Action “Elevating Greek Startups against COVID 19 2nd CYCLE” with a total budget of 34 million €. The Action aims at the support …
We are developing a unique slicing software for advanced and demanding applications utilizing Fused Filament Fabrication (FFF) technology
Our slicing software can provide remarkable control during the 3D printing process resulting in customized solutions of high accuracy
We do not stop experimenting with the latest updates in the field of Fused Filament Fabrication (FFF) 3D printing technology and new materials
Morphé has developed a fully functioning prototype slicing software connecting images directly to the printing process. The users can produce 3D printed objects from a series of images such as DICOM, BMP, JPG, TIFF etc. without the need for 3D models resulting in personalized outcomes of high accuracy.
3D printing technology has expanded significantly in the field of applied medicine, such as the construction of prosthetics, the development of scaffolds for tissue culture or even for the preparation of complex surgical operations. The main advantage of this technology in comparison to current methods is that it can provide real personalized solutions and reduce the associated costs and construction time. Due to developments over the last decade in 3D printing, the demand for personalized medical applications is constantly rising and gaining an ever-increasing interest.
The results indicate a more accurate simulation of a patient’s anatomy than the methods that have been implemented so far. The innovative proposed approach considerably eliminates the long pre-processing time and bypasses the need for skilled personnel with knowledge of anatomy, which are still prerequisites for the current 3D printing methods. Furthermore, Morphé’s software ‘Reform’ can provide extensive control on a Fused Deposition Modelling 3D printer accurate representing the density of any human organ homogeneously.
The filament extrusion rate defines the amount of melted filament to be extruded on a print. However, by manipulating accurately the extrusion rate during the 3D printing process, it is possible to alter the properties of the produced object. Import 3D models and select different filament extrusion rates for each print producing parts of different weight, flexibility, strength or other property based on the employed filament.
Infill pattern is the structure inside a 3D printed object. An infill pattern can be simply linear or based on more complex structures and consequently can affect an object’s strength, flexibility, as well object’s weight and printing time. Using Morphé’s ‘Reform’ slicing software, the users can create their own patterns that fit their needs. They can create patterns with different filament extrusion rates or choose among various pre-designed patterns.
Morphé is a start-up company that is currently developing a new slicing software named Reform for Fused Deposition Modelling (FDM) 3D printers. The team of Morphé has considerable experience in medical applications and particularly in 3D printed patient-specific phantoms replicating a patient’s anatomy for radiotherapy purposes. The team of Morphé is proud of continuously inventing tools to improve people’s quality of life and able to offer high-quality products through its continuous research and innovation. Our target is to make our technology accessible to everyone by providing accurate, personalized and low-cost solutions.
The enterprise MORPHE ΙΚΕ has joined the Action “Elevating Greek Startups against COVID 19 2nd CYCLE” with a total budget of 34 million €. The Action aims at the support …
Morphé was chosen to participate to ‘Ok!Thess’ accelerator for further market research and development of its services.
Morphé has been nominated for South Europe Startups Award and Newcomer Award from Global Startups Awards, which is the largest independent startup ecosystem competition.
Morphé was selected as one of Hello Tomorrow’s Deep Tech Pioneers and recognized as one of the most promising projects in deep tech to date.