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...
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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...
Quality Counts: Implementing Quality Standards as part of Image Analysis in Clinical R&D
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...
Use of histology image analysis to aid selection of oncology xenograft models for drug development
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
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...