News

Very interesting and hopeful article about MS

 

The MS-research of one of our brilliant collaboration partners, associate professor Joachim Burman Akademiska sjukhuset, The Uppsala University Hospital, is featured in the news recently: http://unt.se/nyheter/uppsala/celltransplantation-bast-hjalp-for-ms-sjuka-4928282.aspx

Stardots is honored to work with the best in their respective field, and to deliver tools that helps the researcher to acquire and analyze data. Incidentally, Stardots and Joachim Burman are developing new methods of quantifying the degree of MS, more information and downloadable application will follow shortly!

 

Evolved Horizon 1.17 is released!

Evolved Horizon just got better; v. 1.17 released today!!!

Main new features includes a low-, high-, and band-pass FIR filter, better database manager, and more visualization options.

See all additions and fixes in the release notes. Just restart the application to receive your upgrade!

 

Apply the new low-pass FIR DSP filter to filter out contributions from lower frequencies
Apply the new high-pass FIR DSP filter to only include higher order frequencies

 

Change sizes for all graphical elements (this graphs shows the boxplot and the “Small” plot size)

 

PID 2.01 “Teodor”

We are thrilled to announce a new version and the general availability of our cell counter: Pancreas Image Detection (PID)!  PID can count three types of cells in the Langerhans islets of the Pancreas, and removes the tedious, error-prone task of counting the cells manually, increasing both the rate and accuracy of the research. Main features of PID 2.01 “Teodor”:

  • Automated isolation of the Langerhans Islet in the pancreas
  • Counting three types of cells: alpha, beta and KI67-marked
  • Image support: common bitmap formats, e.g., *.tif, *.bmp, *.png and *.jpg
  • Extensive database support, including multiple, lightning-fast, databases and rich export capabilities.
  • Interface with overview of the database, cell counts and final-image comparison.
  • Our trials shows 98-99% accuracy and 0.01 s/cell counting time in real usage scenarios (depending on image quality and your computer hardware).

PID was co-developed with Uppsala university. Download here: Pancreas Image Detection

PID 2.01 “Teodor” build. Count cells using an intuitive and powerful interface. Compare and relate and adjust results. The database has many export capabilites.