2IP proposes a support for image analysis with the following softwares:
| Scans | FOV | Brightfield | Fluorescence | Polarization | ||
|---|---|---|---|---|---|---|
| Author (Visiopharm) | x | x | x | x | x | |
| TissueIA (SlidePath) | x | x | ||||
| ImageJ | x | x | x | x | ||
| Frida | x | x | x | x | ||
| Axiovision* | x | x |
*colocalisation and 3D reconstruction modules
Whole sections digitalization has opened the way to automation of image analyzes.
In a validation perspective, we showed that the analysis of stained surface or number of stained cells (versus evaluation by a Pathologist) were correlated both for membrane and nuclear markers. In clinical routine, immunostainings are often quantified (visually) as a number of stained cells. However, stained surface quantification offers the advantages of being faster and easier to develop.
Comparison of CD3 and CD20 IHC quantification on head and neck squamous cell carcinoma using stained area or stained cells algorithms
More infos:
Digital pathology : elementary, rapid and reliable automated image analysis. Bouzin C, Lamba Saini M, Khaing KK, Ambroise J, Marbaix E, Grégoire V, Bol V. Histopathology. 2016 May;68(6):888-96
The analysis of immunostainings by two different software (Author and TissueIA) is comparable both on positive area and number of stained cells.
Head and neck squamous cell carcinoma sections - CD3 IHC