Our first application area aims to help
Aging #1 Risk Factor for disease
New research has shown that aging is the number one risk factor for most of the critical diseases we suffer from today. Therefore, if we can better understand the aging process, we can shed more light on how to prevent or cure many complex diseases simultaneously.
How scientists study aging
When scientists study aging, they start with a simpler model organism that behaves in a similar way to humans but has a much shorter lifespan. The most versatile model is yeast, and that is where we come in.
Because yeast is so versatile and easy to maintain, cell-aging researchers typically begin with yeast to test a wide range of new compounds before selecting the most successful candidates to test on more complex models.
Yeast Cells
S.cerevisiae
Worms
C. elegans
Mice
M. musculus
Humans
What we can offer
An automated analysis of the yeast life span
Automated Recognition
Non-contact identification of mother and daughter cells.
Automated Sorting
Automatically place your mother cells in separate wells, dispose of daughter cells, and extract cells of interest for further analysis.
Automated Counting
Keep track of your mother cells and automatically count and time-stamp cell divisions.
Imaging
Live imaging during experiments and automated image processing.
Further Aplications
In addition to aging, we believe that these are the fields where we can have the biggest societal impact:
Forensics
Helping forensic DNA analysts extract cells from evidence samples to obtain better quality DNA profiles more quickly, which could expedite the judicial process.
Immuno Oncology
Aiding researchers create the next generation of immunotherapies by allowing them to properly handle delicate and rare white blood cells.
Virology
Allowing virologists to better understand virus-host interactions which could lead to the development of new, personalized vaccines for viruses such as COVID-19.
