How are we different from all the others...

Innoav Plex armed with optomechnical engineering experience is working closely with geologists and leading industry experts to incorporate the best of optical strategy to ensure the delivery of the highest quality image data set that is relavant to the analytical goal and our software engineers are following up with the innovative tools to provide the rest of the pipeline.

Innova Plex is more than an optical scanning service provider.     We strive to become your research partner with our unique set of expertise.

Innova Plex is proudly offering a total solution from acquisition to data integration.  

Garbage in, Garbage Out!!!

Innova Plex was the first company who introduced Virtual Petrography^® whole thin-section scanning technology.     Since then, many others followed suit to come up with seemingly similar systems.

In fact, there are many off-the-shelf hardware and software packages now available that you can purchase and this will let you create a huge image tile of thin-sections.

Even a well-equipped high schooler with just enough knowledge in optics and mechatronics can put together his or her own system to make a tiled set of hugh image.

However, there are more substances hidden under the superficial similarities that really makes tons of difference in what you can do with the image.  Our file format along with a specialized streaming geo-data server and analytical tools allows not just a fast viewing, but analysis of whole image as a wholesome data.   It even lets you search and link datasets of similar parameters.

With the advance of new AI-assisted tools, we are rapidly adding on additional plug-in modules to find, link, view, render, and even analyze image sets as complex as multi-dimensional 3D FIB image data using server pushed multi-scalar rasterization method.  

Petrogrographic data more than any other data set relies more heavily on the quality of sample preperation and the resulting image quality.     No matter how good of processing algorithm, methodology and startegy you possess, if your image is of subpar quality stemming from poor sample preperation, inferior acquisition set up, and limited dynamic resolution, you will end up with a undesirable data enumeration result.

The simple rule of thumb in image analysis always prevails.