Published August 21, 2022 | Version v3
Dataset Open

Label-Free Identification of Exosomes Using Raman Spectroscopy and Machine Learning

  • 1. Department of Physics, Bogazici University, 34342, Istanbul, Turkey - Canary Center at Stanford for Cancer Early Detection, , BioAcoustic MEMS in Medicine Lab (BAMM), Department of Radiology Stanford School of Medicine Palo Alto, CA 94304, USA
  • 2. Canary Center at Stanford for Cancer Early Detection, , BioAcoustic MEMS in Medicine Lab (BAMM), Department of Radiology Stanford School of Medicine Palo Alto, CA 94304, USA
  • 3. Department of Physics, Bogazici University, 34342, Istanbul, Turkey
  • 4. Department of Computer Engineering, Bogazici University, 34342, Istanbul, Turkey
  • 5. Koç University Graduate School of Sciences and Engineering, 34450, Istanbul, Turkey - Koç University Research Center for Translational Medicine (KUTTAM), 34450, Istanbul, Turkey
  • 6. Department of Molecular Biology and Genetics, Center for Life Sciences and Technologies, Apoptosis and Cancer Immunology Laboratory (AKiL), Bogazici University, 34342, Istanbul, Turkey
  • 7. UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey - Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
  • 8. Koç University Research Center for Translational Medicine (KUTTAM), 34450, Istanbul, Turkey - School of Medicine, Koç University, 34450, Istanbul, Turkey
  • 9. Department of Physics, Bogazici University, 34342, Istanbul, Turkey - Faculty of Engineering, Hokkaido University, North-13 West-8, Kita-ku, Sapporo, Hokkaido, 060-8628, Japan - Global Center for Biomedical Science and Engineering Quantum Medical Science and Engineering (GI-CoRE Cooperating Hub), Faculty of Medicine, Hokkaido University, Sapporo, 060-8638, Japan
  • 10. Canary Center at Stanford for Cancer Early Detection, , BioAcoustic MEMS in Medicine Lab (BAMM), Department of Radiology Stanford School ofMedicine Palo Alto, CA 94304, USA

Description

Figures and datasets used in the manuscript "Label-Free Identification of Exosomes Using Raman Spectroscopy and Machine Learning". Codes that produce the figures are also included.

 

 

 

Files

Fig1.zip

Files (4.5 GB)

Name Size Download all
md5:971f728200e47e8805ac1228992a158d
862.0 MB Download
md5:ee8a82766c60e8b14ab69ba9d21a3fcf
1.9 MB Preview Download
md5:6caabd1d8dd391b03a90b2d46a56beda
58.0 MB Preview Download
md5:8dabbef69a7f4bc0f55cdd51f513d401
233.1 MB Preview Download
md5:ceb3a710ca155bdf76e78b92db94115b
107.9 MB Preview Download
md5:4f63cbdb614417c194e270abe52b1093
107.4 MB Preview Download
md5:23a34d078c42874fa9aaab67a79aa9b3
7.5 MB Preview Download
md5:5b3a1dcb751cd139616699bff9a8075b
50.1 MB Preview Download
md5:158feb69c8a5b64f473e7e079197923d
358.6 MB Preview Download
md5:ed8cd72a2ea929c9118c494e9516d78d
2.6 MB Preview Download
md5:4bfcd430829a2f93cd38e1b4e8a97537
6.5 MB Preview Download
md5:df4a2ea6b1b721401e0dccf09f7999f6
428.4 MB Preview Download
md5:ef04c129d5fa8d1230a2f49ae626cbae
902.2 kB Preview Download
md5:f564b6e8059d4be963bd5a8998e9e803
357.6 MB Preview Download
md5:dcb5a239f684bb069b11efd1c03a5f6a
649.2 kB Preview Download
md5:efc483334af59b6283a34d4f82b05c8d
2.3 MB Preview Download
md5:754faa140c14fd1998ce6d9fcaee79d5
5.1 MB Preview Download
md5:ac05ced758c330e170c7a2cff1a9820e
165.6 MB Download
md5:be4b53e29f6eb033a9c69e49d64f0891
900.2 MB Download
md5:fbb3807a0bbd3de4fdf559c6f4d9bec8
890.5 MB Download
md5:dbf712954585192ffbfa40f26db67051
18.1 kB Download