The Artificial Microscope
Optical microscopy demonstrated an incredible power and ability in producing large data set originated from biological samples by light interrogation and tunable in terms of spatial at temporal resolution down to the nano- and pico- scale, respectively. Such a data set is the core for developing an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13012.pdf |
| _version_ | 1797634859447877632 |
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| author | Diaspro Alberto Bianchini Paolo Cuneo Lisa |
| author_facet | Diaspro Alberto Bianchini Paolo Cuneo Lisa |
| author_sort | Diaspro Alberto |
| collection | DOAJ |
| description | Optical microscopy demonstrated an incredible power and ability in producing large data set originated from biological samples by light interrogation and tunable in terms of spatial at temporal resolution down to the nano- and pico- scale, respectively. Such a data set is the core for developing an artificial microscope aiming to transform a label-free interrogation of the sample into a molecular-rich fluorescence-based image. The intelligent artificial microscope is AI-guided through a computational core based on three modules based on a convolutional neural network (CNN) and a tensor independent component analysis (tICA) un-supervised machine learning within a supervised deep learning strategy having the ambitious target to create a robust virtual environment "to see "what we could not perceive before". An interesting case study is related to understanding the visualisation of chromatin organisation. |
| first_indexed | 2024-03-11T12:14:15Z |
| format | Article |
| id | doaj.art-e7da4d2594214e6090d79f265e5ecb23 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-03-11T12:14:15Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-e7da4d2594214e6090d79f265e5ecb232023-11-07T10:20:41ZengEDP SciencesEPJ Web of Conferences2100-014X2023-01-012871301210.1051/epjconf/202328713012epjconf_eosam2023_13012The Artificial MicroscopeDiaspro Alberto0Bianchini Paolo1Cuneo Lisa2DIFILAB Department of Physics, University of GenoaDIFILAB Department of Physics, University of GenoaDIFILAB Department of Physics, University of GenoaOptical microscopy demonstrated an incredible power and ability in producing large data set originated from biological samples by light interrogation and tunable in terms of spatial at temporal resolution down to the nano- and pico- scale, respectively. Such a data set is the core for developing an artificial microscope aiming to transform a label-free interrogation of the sample into a molecular-rich fluorescence-based image. The intelligent artificial microscope is AI-guided through a computational core based on three modules based on a convolutional neural network (CNN) and a tensor independent component analysis (tICA) un-supervised machine learning within a supervised deep learning strategy having the ambitious target to create a robust virtual environment "to see "what we could not perceive before". An interesting case study is related to understanding the visualisation of chromatin organisation.https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13012.pdf |
| spellingShingle | Diaspro Alberto Bianchini Paolo Cuneo Lisa The Artificial Microscope EPJ Web of Conferences |
| title | The Artificial Microscope |
| title_full | The Artificial Microscope |
| title_fullStr | The Artificial Microscope |
| title_full_unstemmed | The Artificial Microscope |
| title_short | The Artificial Microscope |
| title_sort | artificial microscope |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13012.pdf |
| work_keys_str_mv | AT diasproalberto theartificialmicroscope AT bianchinipaolo theartificialmicroscope AT cuneolisa theartificialmicroscope AT diasproalberto artificialmicroscope AT bianchinipaolo artificialmicroscope AT cuneolisa artificialmicroscope |