Gram staining is used daily as a method for detecting microorganisms in various research fields and
industries. However, there are some problems with Gram staining, such as the need for skilled workers to
perform the staining process consistently, and the physical and mental strain on workers caused by the
unique odor and staining properties of the reagents.
During the development of the "Microbial Estimation AI Software BiTTE
®-iE", there were many requests to
automate not only the determination of bacteria after staining but also the staining of samples for the
above reasons, which led us to start the development of the "PoCGS
®-iE Research Use Only Automated Gram
Stainer".
As we surveyed the market during the development process, we learned that various industries, mainly in
the industrial sector, use their own unique and creative methods for Gram staining. As for the
installation place of the unit, we heard many requests to keep the exclusive floor space as small as
possible, since various test devices were already installed in the area.
Therefore, we proceeded with development based on the design concept that the staining process (we call
it "staining recipe") can be customized by the user and that it should be as small, light, and simple as
possible. (*Multiple staining recipes by the user can be stored.)
In addition, the staining quality, which is the most important aspect of the product, is equivalent to
that of skilled experts. We are proud that this staining quality has been achieved through several years
of collaboration with various academia and institutes. We would like to take this opportunity to thank
all the researchers who have contributed to the development and verification of this instrument.
The PoCGS®-iE Research Use Only Automated Gram Stainer can be used to perform standard Gram staining as
well as customized Gram staining for each site in a stable and repeatable manner, resulting in improved
sample estimation accuracy.
We hope that our PoCGS
®-iE will help those involved in
microbiological detection and testing.