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Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention

Alican Bozkurt, Kivanc Kose, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha
2021 Scientific Reports  
In this study, we automate DEJ localization using deep recurrent convolutional neural networks to delineate skin strata in stacks of RCM images collected at consecutive depths.  ...  To perform diagnostic analysis, clinicians collect a set of RCM mosaics (RCM images concatenated in a raster fashion to extend the field view) at 4–5 specific layers in skin, all localized in the junction  ...  Acknowledgements This work was supported in part by the National Cancer Institute (NCI) under grant R01CA199673, and the NCI Core Center grant P30CA008748.  ... 
doi:10.1038/s41598-021-90328-x pmid:34131165 fatcat:opy3pqaw2fbmjntuy2wpgcxj5a

Optical aspects of a miniature fluorescence microscope for super-sensitive biomedical detection

Yunfeng Nie, Aikio Sanna, Annukka Kokkonen, Teemu Sipola, Uusitalo Sanna, Simonetta Grilli, Heidi Ottevaere
2020 Zenodo  
We present optical design and the principle demonstrator of a miniature fluorescence microscope aiming for super-sensitive detection.  ...  Current commercial fluorescence microscopes are typically sophisticated, bulky and expensive, not suitable for low-volume or clinic routine biomedical detection.  ...  social responsiveness in those with autism.  ... 
doi:10.5281/zenodo.3822435 fatcat:3eoome22a5grbmarbrktphfh7a

Rapid wide-field imaging of soft-tissue microstructure [article]

Will A. Goth
To my mother, Brenda, who has sent an unending stream of love and support, and has commiserated and celebrated every step of the way with me.  ...  I love you all, and am excited to begin this next chapter of my life with you.  ...  Acknowledgements I'd first like to acknowledge both of my graduate supervisors, Dr. James Tunnell & Dr. Michael Sacks, for their mentorship and guidance during the past five years, as well as  ... 
doi:10.15781/t2vt1h973 fatcat:iwuatwtwfvdsvaoxyhdeb4xnea