Providing detailed whole slide morphological and cell by cell analysis
Accurate quantitative read-outs allowing deeper interpretation and more informed decisions
A HIGHLY SPECIALISED DIGITAL PATHOLOGY CRO
OracleBio is a highly specialised digital pathology CRO (contract research organization) providing high precision, quantitative, digital image analysis services to support pre-clinical and clinical research.
Using both Indica Labs HALO™ and Visiopharm Oncotopix image analysis software platforms we can deliver accurate and detailed quantification of nuclear, membrane and cytoplasmic markers on a cell-by-cell basis.
https://oraclebio.com/wp-content/uploads/2019/09/Asset-1.png7232271Thaer Kilanihttps://oraclebio.com/wp-content/uploads/2019/05/Website-Logo-1-300x138.pngThaer Kilani2019-09-06 14:29:332019-09-06 14:31:586th Digital Pathology & AI Congress 2019
https://oraclebio.com/wp-content/uploads/2019/07/Website-Banner-3.png7242271Thaer Kilanihttps://oraclebio.com/wp-content/uploads/2019/05/Website-Logo-1-300x138.pngThaer Kilani2019-07-09 15:07:042019-08-05 11:20:11European Society for Medical Oncology - ESMO Congress 2019
https://oraclebio.com/wp-content/uploads/2019/01/TMA-Blog-1-e1548420847561.png807807John Wallerhttps://oraclebio.com/wp-content/uploads/2019/05/Website-Logo-1-300x138.pngJohn Waller2019-01-25 12:52:202019-01-29 16:23:46Selecting the Correct Therapeutic Indication: A Case Study Utilising Tissue Microarrays (TMA) with Digital Image Analysis
https://oraclebio.com/wp-content/uploads/2018/04/histology-quality-blog-thumbnail.jpg430430Hannah Thomsonhttps://oraclebio.com/wp-content/uploads/2019/05/Website-Logo-1-300x138.pngHannah Thomson2018-04-25 15:05:362018-04-27 12:43:426 Ways to Improve the Quality of Quantitative Histopathology Data
https://oraclebio.com/wp-content/uploads/2017/08/lag3-image-for-newsletter.jpg698698Hannah Thomsonhttps://oraclebio.com/wp-content/uploads/2019/05/Website-Logo-1-300x138.pngHannah Thomson2017-08-08 13:56:322017-08-15 11:17:36Quantification of Dual LAG-3 and CD3 IHC-stained T Cells in Clinical Tumor Tissue using Image Analysis