Automatic Raman spectroscopic urine crystal identification system using fluorescent image-guided 2D scanning platform with Fe3O4 crystal violet nanoclusters

Pei An Lo, Yi Hsiu Huang, Yi Chun Chiu, Li Ci Huang, Jia Lun Bai, Shu Han Wu, Chih-Chia Huang, Huihua Kenny Chiang

Research output: Contribution to journalArticle

Abstract

Urolithiasis is a common urological disease with a very high recurrence rate, within 5 years. Urine stones are formed by urine crystals. Although the relationship between the composition of the urine stone and the type of urine crystal has been recognized, the efficient collection and accurate identification of the type of urine crystal in clinics remains a challenge. In this study, we develop an automatic Raman spectroscopic urine crystal collection and identification system. Custom-developed Fe3O4 crystal violet nanoclusters are used for (a) separating the urine crystals from the urine samples by a custom-developed urine processing system and for (b) fluorescent labeling, image guiding, and the Raman spectroscopic measurement of the urine crystals on a 2D scanning stage. The control of the system and the Raman spectroscopic analysis are developed in a LabVIEW environment. This system is a fast and convenient method for the efficient collection and analysis of urinary crystals from urine samples, within 9 min. This automatic urine crystal identification system can enable the early prediction of the types of urine stones and the diet management for urolithiasis patients.

Original languageEnglish
Pages (from-to)34-40
Number of pages7
JournalJournal of Raman Spectroscopy
Volume50
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Gentian Violet
Nanoclusters
Identification (control systems)
Scanning
Crystals
Spectroscopic analysis
Nutrition
Labeling

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Spectroscopy

Cite this

Lo, Pei An ; Huang, Yi Hsiu ; Chiu, Yi Chun ; Huang, Li Ci ; Bai, Jia Lun ; Wu, Shu Han ; Huang, Chih-Chia ; Chiang, Huihua Kenny. / Automatic Raman spectroscopic urine crystal identification system using fluorescent image-guided 2D scanning platform with Fe3O4 crystal violet nanoclusters. In: Journal of Raman Spectroscopy. 2019 ; Vol. 50, No. 1. pp. 34-40.
@article{8d97c7e4e4954aad9fdb6c4dfa012c5e,
title = "Automatic Raman spectroscopic urine crystal identification system using fluorescent image-guided 2D scanning platform with Fe3O4 crystal violet nanoclusters",
abstract = "Urolithiasis is a common urological disease with a very high recurrence rate, within 5 years. Urine stones are formed by urine crystals. Although the relationship between the composition of the urine stone and the type of urine crystal has been recognized, the efficient collection and accurate identification of the type of urine crystal in clinics remains a challenge. In this study, we develop an automatic Raman spectroscopic urine crystal collection and identification system. Custom-developed Fe3O4 crystal violet nanoclusters are used for (a) separating the urine crystals from the urine samples by a custom-developed urine processing system and for (b) fluorescent labeling, image guiding, and the Raman spectroscopic measurement of the urine crystals on a 2D scanning stage. The control of the system and the Raman spectroscopic analysis are developed in a LabVIEW environment. This system is a fast and convenient method for the efficient collection and analysis of urinary crystals from urine samples, within 9 min. This automatic urine crystal identification system can enable the early prediction of the types of urine stones and the diet management for urolithiasis patients.",
author = "Lo, {Pei An} and Huang, {Yi Hsiu} and Chiu, {Yi Chun} and Huang, {Li Ci} and Bai, {Jia Lun} and Wu, {Shu Han} and Chih-Chia Huang and Chiang, {Huihua Kenny}",
year = "2019",
month = "1",
day = "1",
doi = "10.1002/jrs.5495",
language = "English",
volume = "50",
pages = "34--40",
journal = "Journal of Raman Spectroscopy",
issn = "0377-0486",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

Automatic Raman spectroscopic urine crystal identification system using fluorescent image-guided 2D scanning platform with Fe3O4 crystal violet nanoclusters. / Lo, Pei An; Huang, Yi Hsiu; Chiu, Yi Chun; Huang, Li Ci; Bai, Jia Lun; Wu, Shu Han; Huang, Chih-Chia; Chiang, Huihua Kenny.

In: Journal of Raman Spectroscopy, Vol. 50, No. 1, 01.01.2019, p. 34-40.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Automatic Raman spectroscopic urine crystal identification system using fluorescent image-guided 2D scanning platform with Fe3O4 crystal violet nanoclusters

AU - Lo, Pei An

AU - Huang, Yi Hsiu

AU - Chiu, Yi Chun

AU - Huang, Li Ci

AU - Bai, Jia Lun

AU - Wu, Shu Han

AU - Huang, Chih-Chia

AU - Chiang, Huihua Kenny

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Urolithiasis is a common urological disease with a very high recurrence rate, within 5 years. Urine stones are formed by urine crystals. Although the relationship between the composition of the urine stone and the type of urine crystal has been recognized, the efficient collection and accurate identification of the type of urine crystal in clinics remains a challenge. In this study, we develop an automatic Raman spectroscopic urine crystal collection and identification system. Custom-developed Fe3O4 crystal violet nanoclusters are used for (a) separating the urine crystals from the urine samples by a custom-developed urine processing system and for (b) fluorescent labeling, image guiding, and the Raman spectroscopic measurement of the urine crystals on a 2D scanning stage. The control of the system and the Raman spectroscopic analysis are developed in a LabVIEW environment. This system is a fast and convenient method for the efficient collection and analysis of urinary crystals from urine samples, within 9 min. This automatic urine crystal identification system can enable the early prediction of the types of urine stones and the diet management for urolithiasis patients.

AB - Urolithiasis is a common urological disease with a very high recurrence rate, within 5 years. Urine stones are formed by urine crystals. Although the relationship between the composition of the urine stone and the type of urine crystal has been recognized, the efficient collection and accurate identification of the type of urine crystal in clinics remains a challenge. In this study, we develop an automatic Raman spectroscopic urine crystal collection and identification system. Custom-developed Fe3O4 crystal violet nanoclusters are used for (a) separating the urine crystals from the urine samples by a custom-developed urine processing system and for (b) fluorescent labeling, image guiding, and the Raman spectroscopic measurement of the urine crystals on a 2D scanning stage. The control of the system and the Raman spectroscopic analysis are developed in a LabVIEW environment. This system is a fast and convenient method for the efficient collection and analysis of urinary crystals from urine samples, within 9 min. This automatic urine crystal identification system can enable the early prediction of the types of urine stones and the diet management for urolithiasis patients.

UR - http://www.scopus.com/inward/record.url?scp=85055676090&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055676090&partnerID=8YFLogxK

U2 - 10.1002/jrs.5495

DO - 10.1002/jrs.5495

M3 - Article

VL - 50

SP - 34

EP - 40

JO - Journal of Raman Spectroscopy

JF - Journal of Raman Spectroscopy

SN - 0377-0486

IS - 1

ER -