CYTOLOGICAL METHOD FOR ANALYZING A BIOLOGICAL SAMPLE BY RAMAN SPECTROSCOPY

• US 20110317158A1
• Filed: 06/20/2011
• Published: 12/29/2011
• Est. Priority Date: 12/18/2008
• Status: Abandoned Application

• Current Assignee: Dublin Institute of Technology
• Original Assignee: Dublin Institute of Technology
• Inventors: Lyng, Fiona M., Byrne, Hugh, O Faolain, Eoghan, Clarke, Colin, Ostrowska, Kamila
• Application Number:
  US13/164,667
• Publication Number:
  US 20110317158A1
• Time in Patent Office: Days
• US Class Current: 356/301
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 2015/1006 for cytology
• CPC Class Codes: G01N 2035/0091 GUI [graphical user interfaces]
• CPC Class Codes: G01N 21/65 Raman scattering

Abstract

Provided herein are systems and methods that permit low resolution Raman spectroscopy to be used for detection of biological components within cells in order to classify the cells, for example, as premalignant, malignant, or benign.

Claims

1. A method for classifying a cell/tissue sample using Raman spectroscopy, comprising:

(a) performing Raman spectroscopy on a cell/tissue sample of unknown cell class and obtaining from the sample one or more low resolution sample spectra;

(b) comparing the one or more low resolution sample spectra to a reference dataset comprising spectral peaks associated with at least one cell class; and

(c) classifying the unknown cell/tissue sample as comprising one of the at least one cell class or not comprising the at least one cell class based on a determination of the similarity of spectral peaks of the one or more low resolution sample spectra and the spectral peaks in the reference dataset,

wherein the resolution of the one or more low resolution sample spectra is at least 3 wavenumbers.

2. The method of claim 1, wherein the unknown cell/tissue sample is gynecological, breast, urological, renal, digestive, thyroid, or lymph node cell/tissue.

3. The method of claim 2, wherein the gynecological tissue is vaginal, cervical, ovarian, or uterine tissue.

4. The method of claim 3, wherein the gynecological tissue is cervical tissue.

5. The method of claim 1, wherein the reference dataset comprises spectral peaks acquired from normal and abnormal cell/tissue samples.

6. The method of claim 5, wherein the spectral peaks acquired from the abnormal cell/tissue samples represent a premalignant cell class, a malignant cell class, or a combination thereof.

7. The method of claim 1, wherein the unknown cell/tissue sample is classified as normal or abnormal.

8. The method of claim 7, wherein the abnormal cell class is premalignant or malignant.

9. A method for classifying a cell/tissue sample using Raman spectroscopy, comprising:

(a) performing Raman spectroscopy on a cervical cell/tissue sample of unknown cell class and obtaining from the sample one or more low resolution sample spectra;

(b) comparing the one or more low resolution sample spectra to a reference dataset comprising spectral peaks associated with at least one cell class; and

(c) classifying the unknown cell/tissue sample as comprising one of the at least one cell class or not comprising the at least one cell class based on a determination of the similarity of spectral peaks of the one or more low resolution sample spectra and the spectral peaks in the reference dataset,

wherein the resolution of the one or more low resolution sample spectra is at least 3 wavenumbers.

10-16. -16. (canceled)

17. A method for classifying a cell/tissue sample using Raman spectroscopy, comprising:

(a) generating from cell/tissue samples of at least one known cell class a reference dataset of low resolution Raman spectral peaks characteristic of the at least one known cell class;

(b) providing the reference dataset to facilitate comparing one or more low resolution sample spectra obtained from a cell/tissue sample of unknown cell class to the spectral peaks of the reference dataset and assigning the unknown cell/tissue sample to a cell class based on the comparison,

wherein the resolution of the spectral peaks in the reference dataset and the resolution of the sample spectra is at least 3 wavenumbers.

18-32. -32. (canceled)

33. A method for classifying a cell/tissue sample using Raman spectroscopy, comprising:

(a) generating from cell/tissue samples of at least one known cell class a reference dataset of low resolution Raman spectral peaks characteristic of the at least one known cell class;

(b) generating a pattern recognition model/algorithm using the reference dataset of (a); and

(c) implementing the pattern recognition model to assign a cell class to an unknown cell/tissue sample based on one or more low resolution Raman spectra acquired from the unknown cell/tissue sample,

wherein the resolution of the spectral peaks in the reference dataset and the resolution of the sample spectra is at least 3 wavenumbers.

34-51. -51. (canceled)

52. A Raman spectroscopy system, comprising:

(a) a low resolution Raman spectrometer having a spectral resolution of at least 3 wavenumbers; and

(b) an analysis module configured with a pattern recognition model/algorithm trained to compare one or more low resolution Raman sample spectrum acquired from cell/tissue sample of unknown cell class to spectral peaks of a reference dataset of Raman spectral peaks characteristic of at least one known cell class, and further configured to assign the cell/tissue sample to a cell class based on the comparison.

53-61. -61. (canceled)

62. A software product comprising a computer readable file encoding a sequence of software instructions which, when executed, direct performance of a method of analyzing Raman spectra comprising:

comparing one or more low resolution sample spectra acquired from a cell/tissue sample of unknown cell class with a Raman spectrometer having a spectral resolution of at least 3 wavenumbers to spectral peaks of a reference dataset of Raman spectral peaks characteristic of at least one known cell class; and

assigning the test sample to a class based on the comparison.

63-64. -64. (canceled)

65. A cytological method for analyzing a biological sample, the method comprising the steps of:

(a) consolidating a biological sample into a mass;

(b) obtaining a Raman spectrum for the mass; and

(c) comparing the Raman spectrum of the mass with one or more reference spectra, each of the reference spectra corresponding to a known abnormality to determine whether the contents of the mass contain one of the known abnormalities.

66. A cytology system for analyzing a biological sample on a sample holder, optionally a slide, the system comprising a stage for receiving the sample holder, a low resolution Raman spectroscopy device having a spectral resolution worse than 3 wavenumbers, the Raman spectroscopy device having an analysis module for determining whether the spectrum falls within one or more predefined classes of cell.