SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing
Surface-enhanced Raman spectroscopy employed in conjunction with post-processing machine learning methods is a promising technique for effective data analysis, allowing one to enhance the molecular and chemical composition analysis of information rich DNA molecules. In this work, we report on a room...
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| Veröffentlicht in: | Applied physics letters 2022-01, Vol.120 (2) |
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| container_title | Applied physics letters |
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| creator | Nguyen, Phuong H. L. Rubin, Shimon Sarangi, Pulak Pal, Piya Fainman, Yeshaiahu |
| description | Surface-enhanced Raman spectroscopy employed in conjunction with post-processing machine learning methods is a promising technique for effective data analysis, allowing one to enhance the molecular and chemical composition analysis of information rich DNA molecules. In this work, we report on a room temperature inhomogeneous broadening as a function of the increased adenine concentration and employ this feature to develop one-dimensional and two dimensional chemical composition classification models of 200 long single stranded DNA sequences. Afterwards, we develop a reservoir computing chemical composition classification scheme of the same molecules and demonstrate enhanced performance that does not rely on manual feature identification. |
| doi_str_mv | 10.1063/5.0075528 |
| format | Article |
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Afterwards, we develop a reservoir computing chemical composition classification scheme of the same molecules and demonstrate enhanced performance that does not rely on manual feature identification.</description><subject>Adenine</subject><subject>Applied physics</subject><subject>Chemical composition</subject><subject>Classification</subject><subject>Computation</subject><subject>Data analysis</subject><subject>Gene sequencing</subject><subject>Machine learning</subject><subject>Raman spectroscopy</subject><subject>Room temperature</subject><subject>Two dimensional models</subject><issn>0003-6951</issn><issn>1077-3118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqd0E1LAzEQBuAgCtbqwX-w6Elha7JpNtljqfUDioLVc0yT2Ta13ayZbaX_3q0VvHsaZniYYV5CzhntMZrzG9GjVAqRqQPSYVTKlDOmDkmHUsrTvBDsmJwgLtpWZJx3yPtk9DJJpwbBJYi3T4PEhlUd0Dc-VImpzHKLHpMv38wTX83DKsyggrDGpAbzkUxjMA4qX81a65IICHETfPzZsm7a-Sk5Ks0S4ey3dsnb3eh1-JCOn-8fh4NxarkqmtT0M-M4hSJzZa5K2e9Tl5eylBZcCUZIS4USVDHbB56zIs8U8LbNrSosd5J3ycV-b8DGa7S-ATu3oarANpopXnC2Q5d7VMfwuQZs9CKsY_sk6ixnSnKhGG3V1V7ZGBAjlLqOfmXiVjOqdylroX9Tbu313u4uml1o_8ObEP-grl3JvwFC_Yr0</recordid><startdate>20220110</startdate><enddate>20220110</enddate><creator>Nguyen, Phuong H. 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| ispartof | Applied physics letters, 2022-01, Vol.120 (2) |
| issn | 0003-6951 1077-3118 |
| language | eng |
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| source | AIP Journals Complete; Alma/SFX Local Collection |
| subjects | Adenine Applied physics Chemical composition Classification Computation Data analysis Gene sequencing Machine learning Raman spectroscopy Room temperature Two dimensional models |
| title | SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing |
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