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Virtual tissue staining by deep learning

CORDIS · observation · Publication date unknown

Virtual tissue staining by deep learning Our goal is to create a virtual tissue-staining device to replace manual chemical-staining techniques by integrating optics and deep learning. Chemical staining of cell components plays an essential role in biomedical and pharmaceutical research and practice. Cell structures of interest are highlighted using various chemical stains and imaged with the appropriate optical setup. However, these techniques are often invasive and sometimes even toxic to the cells, in addition to being time consuming, labor intensive, and expensive. Recently, the use of deep learning has been proposed as a way to create images of virtually stained cell structures, thus mitigating the inherent problems associated with the conventional chemical staining. However, these methods are usually specialized for a specific application and, thus, highly dependent on the setting of the optical device used

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recordType

award

status

CLOSED

region

EU

value

150000

unit

EUR