# US 2024/0201067 A1 · Spectrum Data Acquisition Method, Cell Sorting Method, And Raman Spectroscopy System

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- Number: US 2024/0201067 A1
- Document ID: US20240201067A1
- Status: Published application
- Kind: A1
- Application number: 18/555,186
- Filed: 2022-03-22
- Published: 2024-06-20
- Earliest claimed: 2021-04-15
- Assignees: National Institute of Advanced Industrial Science and Technology
- Applicants: National Institute of Advanced Industrial Science and Technology
- Inventors: Yuka Akagi; Yasuyuki Kida; Nobuhito Mori; Yuzo Takayama
- Web page: https://patentgrep.com/patent/US20240201067A1

## CPC

- G01N 15/1434: Optical arrangements
- G01N 21/65: Raman scattering
- C12Q 1/04: Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor {(C12Q1/6897 takes precedence)}
- G01N 15/01: specially adapted for biological cells, e.g. blood cells (investigating sedimentation of particle suspensions in blood G01N15/05)
- G01N 33/48: Biological material, e.g. blood, urine (G01N33/02, G01N33/26, G01N33/44, G01N33/46 take precedence); Haemocytometers (counting blood corpuscules distributed over a surface by scanning the surface G06M11/02)
- G01N 33/483: Physical analysis of biological material
- G01N 2201/1296: using neural networks
- G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q)
- C12Q: MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS (immunoassay G01N33/53); COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES

## Abstract

Provided is a spectral data acquisition method which can perform laser irradiation more uniformly while further reducing cell damage. The spectral data acquisition method involves receiving, by means of a spectroscope, Raman scattered light output from a cell by spirally irradiating an area in which the cell is present with laser light from the laser light source, and detecting a Raman spectrum in response to the received Raman scattered light by means of a charge-coupled device (CCD) detector.

## Claims

### Claim at position 1

1-3. (canceled)

### Claim 4

A cell classification method comprising steps of:
receiving Raman scattered light that is outputted from a cell as a result that laser light is emitted in an approximately circular manner and in a turning manner to an approximately circular region where the cell exists;
detecting a Raman spectrum corresponding to the received Raman scattered light; and
classifying the cell based on spectrum data obtained from the detected Raman spectrum.

### Claim 5 (depends on 4)

The cell classification method as recited in claim 4, wherein the step of classifying the cell comprises comparing the obtained spectrum data with standard spectrum data.

### Claim 6 (depends on 4)

The cell classification method as recited in claim 4, wherein the step of classifying the cell is a step of classifying the kind of the cell.

### Claim 7 (depends on 4)

The cell classification method as recited in claim 4, wherein the step of classifying the cell is a step of classifying cells in different states.

### Claim 8 (depends on 4)

The cell classification method as recited in claim 4, wherein the step of classifying the cell is performed by using machine learning.

### Claim 9

(canceled)

### Claim 10

(canceled)

### Claim 11 (depends on 4)

The cell classification method as recited in in claim 4, wherein, in the step of receiving Raman scattered light, the laser light is emitted in a turning manner to an approximately circular region in an individual cell.

### Claim 12 (depends on 4)

The cell classification method as recited in in claim 4, wherein, in the step of receiving Raman scattered light, the laser light is emitted in a turning manner to an approximately circular region where plural cells exist.

### Claim 13 (depends on 4)

The cell classification method as recited in in claim 4, wherein the cell is in an approximately spherical shape.

### Claim 14 (depends on 4)

The cell classification method as recited in in claim 4, wherein the approximately circular region covers a nucleus and a cytoplasm of the cell.