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Dynamic Sparse Sampling for Confocal Raman Microscopy

delete2018-03-09
delete27
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OA
AI
S
Shijie Zhang
Z
Zhengtian Song
G
G. M. Dilshan Godaliyadda
D
Dong Hye Ye
A
Azhad U. Chowdhury
A
Atanu Sengupta
G
Gregery T. Buzzard
C
Charles A. Bouman
G
Garth J. Simpson *
DOI:10.1021/acs.analchem.7b04749delete
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Abstract

Abstract

En 中文
The total number of data points required for image generation in Raman microscopy was greatly reduced using sparse sampling strategies, in which the preceding set of measurements informed the next most information-rich sampling location. Using this approach, chemical images of pharmaceutical materials were obtained with >99% accuracy from 15.8% sampling, representing an similar to 6-fold reduction in measurement time relative to full field of view rastering with comparable image quality. This supervised learning approach to dynamic sampling (SLADS) has the distinct advantage of being directly compatible with standard confocal Raman instrumentation. Furthermore, SLADS is not limited to Raman imaging, potentially providing time-savings in image reconstruction whenever the single-pixel measurement time is the limiting factor in image generation.
Keywords:
LIVING CELLS
SPECTROSCOPY
SCATTERING
MICROSPECTROSCOPY
QUANTIFICATION
DIAGNOSIS
LINE
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Analytical Chemistry cover
Analytical Chemistry
IF:
6.7
Papers:
4.7W
Citations:
15.9W

Organization

Purdue University System cover
Purdue University System
Scholars:
4.0W
Papers: 3.6W
Citations: 66
P
Purdue University
Scholars:
2.7W
Papers: 2.1W
Citations: 147
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