Image Quality Control (QC) is an essential first step in any image analysis study. At OracleBio, we QC check every image before analysis and only proceed with images that meet certain criteria, taking into consideration 1) Image Scan 2) Tissue Section and 3) Staining....

Getting the image quality right before embarking on advanced image analysis may be an obvious statement to make.  However, there are multiple ways to assess image quality and this speaks to the need for robust quality control (QC) processes throughout an image...

Good quality image analysis requires good quality images. Therefore, before beginning quantitative analysis it is essential to first conduct a Quality Control (QC) review of all images to assess suitability for analysis and to only proceed with images that meet...

The production of robust tissue-based quantitative histopathology data is completely dependent on high quality sample preparation and staining. Failure to ensure that samples are of a high quality can hinder subsequent image analysis processes, negatively impact on...

Delivering robust and meaningful data in support of an ever-increasing demand on tissue-based biomarker evaluations is critical to improving decision making in clinical R&D. To realise these requirements, it is vitally important to implement quality standards...