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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...
2019 was a big year for OracleBio in many aspects, with new software, new team members and new clients. In our annual year in review blog, we share our key highlights and insights into our activity from the past year. Deep Learning As expected, artificial intelligence...
According to the American Cancer Society, an estimated 88,000 new cases of gynecologic cancer are diagnosed per year in the U.S., and over 29,000 American women will lose their battle with this deadly disease. Over the past 12 months, OracleBio has supported work lead...
Selecting the right therapeutic disease indication in which to trial new therapies is a notoriously difficult task. Failure to choose the right indication can result in failure in Phase II/III trials resulting in drug discovery programs being halted which, given...
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...
The characterisation of immune cells within the tumor microenvironment and their potential impact on cancer treatment and prognosis has been the subject of intense investigation over recent years. Non-small cell lung cancer (NSCLC) patients have impaired immune...
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...
Quantifying the number, type and distribution of immune cells in oncology tissue is key to obtaining a greater understanding of the actions of immunotherapies as part of immuno-oncology research. With the advent of advanced quantitative digital histopathology...
The development of new oncology therapies is routinely supported through the use of various xenograft models. Identifying the most suitable models for use in pre-clinical oncology programmes is key to establishing a successful translational R&D strategy. The...
Microscope slide scanning to produce digital histology images is a recent technology which is of interest to both histologists and pathologists. Microscope slide scanning to produce digital images is routinely used in various teaching organisations, however its...