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Imagine an image 20,000 times the file size of a standard iPhone photo... and imagine hundreds of these images having to be transferred, stored, and analysed to reveal their secrets. That's the reality and the challenge facing researchers working in the field of...
OracleBio's Chief Scientific Officer, Lorcan Sherry, recently joined Aleksandra Zuraw on the Digital Pathology Place podcast. During the podcast, Aleks and Lorcan have a conversation about the history of OracleBio and the company's journey to GCP Image Analysis....
Currently, digital pathology is undergoing a revolution owing to recent developments in the field of artificial intelligence (AI). Tasks that were previously thought too complex for machine learning to be able to handle are now being accomplished and applied to great...
It goes without saying that 2020 has been a strange year for us all. Whilst there have been many challenges to overcome, we are proud of the way we have adapted and turned 2020 into a successful year. In our annual year in review blog, we share our highlights and...
OracleBio's Chief Operations Officer, Dr John Waller, recently joined Roland Linder on Scottish Development International's What in the Life Sciences podcast. During the podcast, Roland and John have a conversation about the field of Quantitative Digital Pathology....
‘Welcome to Fight Club. The first rule of Fight Club is: you do not talk about Fight Club.’ (Chuck Palauniak 1996). Fight Club and Histopathology may not overlap widely, but their intersection is not empty. Dr Wilfred Weinstein of Los Angeles spoke of ‘The Silence...
The Challenge To meet increasing demand from Clients, OracleBio recently expanded its image analysis software capabilities to include increased licenses for the Visiopharm platform including AI capabilities, as well as an integration of Indica Labs’ AI module to its...
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...
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...
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...