Project
Forest
Forest represent a large variety of samples as trees, plants and mushrooms.
The goal is to accelerate the classification thanks to:
- DNA Barcoding
- DNA database an bioinformatic tools
- Field tool

Forest
We are developing a miniaturized tool for field DNA sequencing allowing:
- A large scale of plant sampling
- Automated DNA extraction
- DNA quantification





Water
Water as mountain lake river and ocean represent a new challenge to overcome.
The goal is to accelerate the classification thanks to:
- Environmental DNA
- DNA database an bioinformatic tools
- Field tool

Water
Developing a new tool for remote DNA analysis of water samples. We are currently working on:
- automation of water sampling
- continuous DNA extraction



Soil
The study of the soil and its microorganisms represents a new challenge and will be investigate from 2021.
- Natura History Museum Geneva

Soil
Incoming new project:
- Dark Biodiversity, partnership: MHN Geneva

F.A.Q.
Interested in doing a project with us ?
Microneedles are a way to speed up and simplify DNA extraction for Plant samples. By puncturing the tissue with an array of needles manufactured with a specific hydrogel, we are able to bind small quantities of DNA that can be amplified for analysis.
To enable field use in adverse terrain, the instrument developed needs to be miniaturized. This will be achieved by designing a microfluidic system handling the various sample processing steps.
The quality of the extracted DNA is an important factor for downstream analysis such as PCR or sequencing. To assess this parameter, an integrated DNA quantification sensor based on UV absorbance is in the development phase.
DNA sequencing produces a large amount of data that needs to be managed. We are currently designing a database that fits the demanding needs of field operations, while still being able to interface with widely used international databases.
To enable effective field use, manual operations need to be reduced to a minimum. This improves the ease of use, the versatility and reduces the risk of sample contamination.