Fine Needle Aspiration with Artificial Intelligence-Enabled Virtual Immunocytochemistry

Project: Research

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Fine needle aspiration (FNA) is a common procedure for cancer diagnosis in human and animal patients. A needle is inserted into the tumor and cells are extracted. This sample is evaluated by the pathologist using cytology methods, where cells are stained, to make the diagnosis. FNA is frequently performed under imaging guidance, making the procedure time-consuming and expensive. Therefore, it is essential to ensure that the sample is adequate. At present, samples are evaluated by the pathologist during such FNA procedures using rapid staining (eg. Modified Wright-Giemsa). Speed is essential as the patient and surgeons are waiting for the evaluation, but it may be limited as accurate and precise, but slower, antibody immunostains (ie. immunocytochemistry) cannot be used. This One Health project will assess the feasibility of artificial intelligence-enabled virtual immunocytochemistry for rapid, accurate, and precise evaluation of FNA samples, in preparation for future major projects and technology licensing.


Project number7020018
Grant typeSIRG
Effective start/end date30/06/2122/12/23