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....
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Improving Colorectal Cancer Prognosis Using Deep Learning
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...
2020: A Year in Review
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...
What in the Life Sciences Podcast with Dr John Waller
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....
The Silence of the Pathologists: Fixation in Histology and Histopathology
‘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...
AWS Implementation for Quantitative Digital Pathology at Scale
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 Analysis Quality Control Part 3: Staining QC
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....
Image Analysis Quality Control Part 2: Tissue Section QC
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...
Image Analysis Quality Control Part 1: Image Scan QC
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 – A Year In Review
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...
5 Ways Quantitative Digital Pathology Can Add Value to Immuno-Oncology R&D
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...
Quantification of Tumour and Stroma Cell Content within Laser Microdissection (LMD) Tissue
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 Correct Therapeutic Indication: A Case Study Utilising Tissue Microarrays (TMA) with Digital Image Analysis
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...
6 Ways to Improve the Quality of Quantitative Histopathology Data
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...
Quantification of Dual LAG-3 and CD3 IHC-stained T Cells in Clinical Tumor Tissue using Image Analysis
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...