| Full text | |
| Author(s): |
Mitsutake, Hery
;
de Paula, Eneida
;
Bordallo, Heloisa N.
;
Rutledge, Douglas N.
Total Authors: 4
|
| Document type: | Journal article |
| Source: | JOURNAL OF CHEMOMETRICS; v. 39, n. 2, p. 10-pg., 2025-02-01. |
| Abstract | |
Raman imaging is a powerful technique for simultaneously obtaining chemical and spatial information on diverse materials. One of the most common detectors used on Raman equipment is the charge coupled detector (CCD) due its high sensitivity. However, CCDs are also sensitive to cosmic rays, that generate very narrow and intense signals: cosmic ray spikes. Since these peaks can be very intense and numerous, it is important to eliminate them before any data analysis. Some methods to do this use comparison of neighboring pixels to identify spikes, but when using the line-scanning acquisition mode, it is common that these spikes appear in two or more pixels close together. Thus, in this work, a new algorithm has been developed to correct for cosmic ray spikes in Raman images, based on multiple linear regression (MLR). This algorithm takes less than 1 min in images with more than 70,000 spectra and removes all spikes, even those at low intensity. (AU) | |
| FAPESP's process: | 21/07224-8 - Multi-block analysis and biosciences: understanding properties and changes in nanostructured lipid carriers from data science approach |
| Grantee: | Hery Mitsutake |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 18/22975-7 - Evaluation of the miscibility and structural modifications of lipids for the development of nanostructured lipid carriers and hydrogels for anesthetic using Raman imaging associated with chemometric methods |
| Grantee: | Hery Mitsutake |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |