Two-dimensional spectral imaging system

• US 20020090650A1
• Filed: 10/31/2001
• Published: 07/11/2002
• Est. Priority Date: 04/06/2000
• Status: Abandoned Application

• Current Assignee: Invitrogen Corp. (Thermo Fisher Scientific Incorporated)
• Original Assignee: Quantum Dot Corporation (Thermo Fisher Scientific Incorporated)
• Inventors: Empedocles, Stephen A., Jin, Jian, Watson, Andrew R.
• Application Number:
  US09/999,780
• Publication Number:
  US 20020090650A1
• Time in Patent Office: Days
• US Class Current: 435/7.1
• CPC Class Codes: B01J 2219/00317 Microwell devices, i.e. having large numbers of wells
• CPC Class Codes: B01J 2219/00432 Photolithographic masks
• CPC Class Codes: B01J 2219/005 Beads
• CPC Class Codes: B01J 2219/00574 radioactive
• CPC Class Codes: B01J 2219/00576 fluorophore
• CPC Class Codes: B01J 2219/00578 electrophoric
• CPC Class Codes: B01J 2219/00585 Parallel processes
• CPC Class Codes: B01J 2219/00596 Solid-phase processes
• CPC Class Codes: B01J 2219/00648 by the use of solid beads
• CPC Class Codes: B01J 2219/00657 One-dimensional arrays
• CPC Class Codes: B01J 2219/00659 Two-dimensional arrays
• CPC Class Codes: B01J 2219/00677 Ex-situ synthesis followed by deposition on the substrate
• CPC Class Codes: B01J 2219/00707 separated from the reactor apparatus
• CPC Class Codes: B01J 2219/00722 Nucleotides
• CPC Class Codes: B01J 2219/00743 Cells
• CPC Class Codes: B01L 2200/0668 Trapping microscopic beads
• CPC Class Codes: B01L 2300/021 Identification, e.g. bar codes
• CPC Class Codes: B01L 2300/0819 Microarrays; Biochips
• CPC Class Codes: B01L 2300/0829 Multi-well plates; Microtitration plates
• CPC Class Codes: B01L 2400/0454 radiation pressure, optical tweezers
• CPC Class Codes: B01L 2400/0457 : passive flow or gravitation
• CPC Class Codes: B01L 3/5025 : for parallel transport of multiple samples
• CPC Class Codes: B01L 3/502715 : characterised by interfacing components, e.g. fluidic, electrical, optical or mechanical interfaces
• CPC Class Codes: B01L 3/502761 : specially adapted for handling suspended solids or molecules independently from the bulk fluid flow, e.g. for trapping or sorting beads, for physically stretching molecules investigating characteristics of particles G01N15/00
• CPC Class Codes: B01L 3/5085 : for multiple samples, e.g. microtitration plates
• CPC Class Codes: B01L 3/545 : for laboratory containers
• CPC Class Codes: B82Y 30/00 : Nanotechnology for materials or surface science, e.g. nanocomposites
• CPC Class Codes: C40B 40/06 : Libraries containing nucleotides or polynucleotides, or derivatives thereof
• CPC Class Codes: C40B 60/14 : for creating libraries
• CPC Class Codes: G01N 2015/0092 : Monitoring flocculation or agglomeration
• CPC Class Codes: G01N 2015/1472 : with colour
• CPC Class Codes: G01N 2015/1497 : Particle shape
• CPC Class Codes: G01N 2021/6441 : with two or more labels
• CPC Class Codes: G01N 2021/6482 : Sample cells, cuvettes
• CPC Class Codes: G01N 2035/00158 : Elements containing microarrays, i.e. "biochip"
• CPC Class Codes: G01N 2035/00752 : bar codes
• CPC Class Codes: G01N 21/253 : for batch operation, i.e. multisample apparatus analytical automats G01N35/00
• CPC Class Codes: G01N 21/274 : Calibration, base line adjustment, drift correction
• CPC Class Codes: G01N 21/278 : Constitution of standards
• CPC Class Codes: G01N 21/6428 : Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" in vivo A61B5/00; immunoassay G01N33/53
• CPC Class Codes: G01N 21/6452 : Individual samples arranged in a regular 2D-array, e.g. multiwell plates
• CPC Class Codes: G01N 21/6456 : Spatial resolved fluorescence measurements; Imaging
• CPC Class Codes: G01N 21/6489 : Photoluminescence of semiconductors
• CPC Class Codes: 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
• CPC Class Codes: G01N 33/50 : Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing measuring or testing processes involving enzymes or microorganisms, compositions or test papers therefor; processes for forming such compositions, condition responsive control in microbiological or enzymological processes C12Q
• CPC Class Codes: G01N 33/53 : Immunoassay; Biospecific binding assay; Materials therefor
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

Improved devices, systems, and methods for sensing and/or identifying signals from within a signal detection region are well-suited for identification of spectral codes. Large numbers of independently identifiable spectral codes can be generated by quite small bodies, and a plurality of such bodies or probes may be present within a detection region. Simultaneously imaging of identifiable spectra from throughout the detection region allows the probes to be identified. As the identifiable spectra can be treated as being generated from a point source within a much larger detection field, a prism, diffractive grading, holographic transmissive grading, or the like can spectrally disperse the images of the labels across a sensor surface. A CCD can identify the relative wavelengths of signals making up the spectra. Absolute signal wavelengths may be identified by determining positions of the labels, by an internal wavelength reference within the spectra, or the like.

Claims

1. A method of performing spectral imaging comprising:

providing a sample having a spectral code;

generating a first image of the sample;

transmitting the first image through a first bandpass filter; and

sensing the first image with at least one sensor.

2. A method as in claim 1, wherein the first bandpass filter transmits a first predetermined range of wavelengths and further comprising transmitting a second image of the sample through a second bandpass filter, wherein the second bandpass filter transmits a second predetermined range of wavelengths which differs from the first bandpass filter.

3. A method as in claim 2, further comprising compiling the first and second images to construct at least a portion of the spectral code of the sample.

4. A method as in claim 3, wherein the sample comprises a plurality of beads wherein each bead has a multi-color spectral code, and wherein constructing the spectral code of the sample comprises determining the at least a portion of the spectrum at each spatial position within the sample correlating to a bead.

5. A method as in claim 4, wherein constructing comprises plotting an intensity at each spatial position as a function of bandpass wavelength.

6. A method as in claim 2, further comprising transmitting a third image of the sample through a third bandpass filter, wherein the third bandpass filter transmits a third predetermined range of wavelengths which differs from the first and second bandpass fiters.

7. A method as in claim 6, further comprising compiling the first second and third images to construct at least a portion of the spectral code of the sample.

8. A method as in claim 2, wherein the first and second filters are disposed on a filter wheel and further comprising rotating the wheel between transmitting the first image and transmitting the second image.

9. A method as in claim 1, wherein the first bandpass filter comprises a tunable bandpass filter and further comprising tuning the tunable bandpass filter so that the tunable bandpass filter transmits a first predetermined range of wavelengths

10. A method as in claim 9, further comprising tuning the tunable bandpass filter so that the tunable bandpass filter transmits a second predetermined range of wavelengths and transmitting a second image of the sample through the tunable bandpass filter, wherein the second predetermined range of wavelengths differs from the first predetermined range of wavelengths.

11. A method as in claim 1, further comprising angling the first bandpass filter so that the first bandpass filter transmits a first predetermined range of wavelengths.

12. A method as in claim 11, further comprising angling a second bandpass filter so that the second bandpass filter transmits a second predetermined range of wavelengths and transmitting a second image of the sample through the second bandpass filter.

13. A method as in claim 12, wherein angling the first and second bandpass filters provides a continuously tunable bandpass filter system.

15. A method as in claim 14, wherein the first region and second region are spaced apart by less than approximately 50 nanometers.

16. A method as in claim 14, wherein the first region and second region are spaced apart by less than approximately 30 nanometers.

17. A method as in claim 14, wherein the first region and second region are spaced apart by less than approximately 10 nanometers.

18. A method as in claim 14, wherein the first region and second region are spaced apart by less than approximately 5 nanometers.

19. A method as in claim 14, wherein the spectral code comprises a coding signal and an assay signal, and wherein the first region and second region are spaced apart to transmit the coding signal or the assay signal but not both.

20. A method as in claim 14, further comprising generating a third image of the sample and bandpass filtering the image to transmit a third region of the electromagnetic spectrum.

21. A method as in claim 20, wherein the first, second and third regions are substantially equally spaced apart across a spectral range.

22. A method as in claim 14, further comprising determining an integration time.

25. A method as in claim 24, further comprising:

measuring an assay signal from an additional bead to obtain an additional measurement;

calculating a candidate additional average measurement from all the measurements;

calculating an additional standard error from all the measurements;

comparing the additional standard error to the threshold value; and

determining that the candidate additional average measurement is the actual average measurement if the additional standard error is less than or equal to the threshold value.

26. A method as in claim 25, further comprising repeating the step of measuring an assay signal from an additional bead and calculating an additional standard error from all the measurements until the additional standard error is less than or equal to the threshold value.

27. A method as in claim 24, wherein the beads comprise polymeric bodies, microspheres, cells, or biological materials.

28. A method as in claim 24, wherein each bead includes at least one semiconductor nanocrystal, fluorescent material or organic dye and the assay signal comprises a spectral code.

29. A method as in claim 24, wherein measuring the assay signal comprises inducing the bead to emit identifiable energy having a spectral code.

30. A method as in claim 29, wherein measuring the assay signal further comprises interpreting the spectral code from the identifiable energy by passing the energy through one or more wavelength dispersive elements

31. A method as in claim 30, wherein measuring the assay signal further comprises sensing the energy with a two-dimensional detector.

14. A method of performing spectral imaging comprising:

providing a sample having a spectral code;

generating a first image of the sample;

bandpass filtering the image to transmit a first region of the electromagnetic spectrum;

generating a second image of the sample;

bandpass filtering the image to transmit a second region of the electromagnetic spectrum;

sensing the first image and second image with at least one sensor.

23. A method of performing spectral imaging comprising:

providing a sample having a spectral code;

generating an image of the sample;

splitting the image into at least a first image and a second image;

transmitting the first image through a first bandpass filter and the second image through a second bandpass filter; and

sensing the first image and the second image with at least one sensor.

24. A method of optimizing an assay to determine an actual average measurement comprising:

performing an assay on a set of beads;

measuring an assay signal from a first bead to obtain a first measurement;

measuring an assay signal from a second bead to obtain a second measurement;

calculating a candidate average measurement from the first measurement and the second measurement;

calculating a standard error from the first and second measurements;

comparing the standard error to a threshold value; and

determining that the candidate average measurement is the actual average measurement if the standard error is less than or equal to the threshold value.

32. A method of optimizing an assay to determine an actual first-set average measurement and an actual second-set average measurement comprising:

performing an assay on a first set of beads;

measuring an assay signal from a first bead of the first set of beads to obtain at a first first-set measurement;

measuring an assay signal from a second bead of the first set of beads to obtain at a second first-set measurement;

calculating a candidate first-set average measurement from the first and second first-set measurements;

calculating a first-set standard error from the first and second first-set measurements;

comparing the first-set standard error to a first-set threshold value; and

performing an assay on a second set of beads;

measuring an assay signal from a first bead of the second set of beads to obtain at a first second-set measurement;

measuring an assay signal from a second bead of the second set of beads to obtain at a second second-set measurement;

calculating a candidate second-set average measurement from the first and second second-set measurements;

calculating a second-set standard error from the first and second second-set measurements;

comparing the second-set standard error to a second-set threshold value; and

determining that the candidate first-set average measurement is the actual first-set average measurement and the candidate second-set average measurement is the actual second-set average measurement if the first-set standard error is less than or equal to the first-set threshold value and the second-set standard error is less than or equal to the second-set threshold value.

33. A method as in claim 32, further comprising:

measuring an assay signal from an additional bead of the first set of beads to obtain an first-set additional measurement;

calculating a candidate first-set additional average measurement from all the measurements;

calculating a first-set additional standard error from all the first-set measurements; and

comparing the first-set additional standard error to the threshold value.

34. A method as in claim 33, further comprising:

measuring an assay signal from an additional bead of the second set of beads to obtain a second-set additional measurement;

calculating a candidate second-set additional average measurement from all the measurements;

calculating a second-set additional standard error from all the second-set measurements; and

comparing the second-set additional standard error to the threshold value.

35. A method as in claims 34, further comprising determining that the candidate first-set actual average measurement is the actual first-set average measurement if the first-set additional standard error is less than or equal to the first-set threshold value.

36. A method as in claim 34, further comprising determining that the candidate second-set actual average measurement is the actual second-set average measurement if the second-set additional standard error is less than or equal to the second-set threshold value.

37. A method as in claim 34, further comprising repeating the step of measuring an assay signal from an additional bead of the first set of beads and calculating a first-set additional standard error from all the first-set measurements until the first-set additional standard error is less than or equal to the first-set threshold value.

38. A method as in claim 34, further comprising repeating the step of measuring an assay signal from a second additional bead of the second set of beads and calculating a second-set additional standard error from all the second-set measurements until the second-set additional standard error is less than or equal to the second-set threshold value.

39. A method as in claim 34, further comprising repeating the step of measuring an assay signal from a first additional bead of the first set of beads until a predetermined number of beads from the first set of beads are measured.

40. A method as in claim 34, further comprising repeating the step of measuring an assay signal from a second additional bead of the second set of beads until a predetermined number of beads from the second set of beads are measured.

41. A method as in claim 32, wherein the assay on the first set of beads differs from the assay on the second set of beads.

42. A method as in claim 32, wherein the first set of beads differs from the second set of beads.

43. A method as in claim 32, wherein the beads comprise polymeric bodies, microspheres, cells, or biological materials.

44. A method as in claim 32, wherein each bead includes at least one semiconductor nanocrystal, fluorescent material or organic dye and the assay signal comprises a spectral code.

45. A method as in claim 32, wherein measuring the assay signal comprises inducing the bead to emit identifiable energy having a spectral code.

46. A method as in claim 45, wherein measuring the assay signal further comprises interpreting the spectral code from the identifiable energy by passing the energy through one or more wavelength dispersive elements

47. A method as in claim 46, wherein measuring the assay signal further comprises sensing the energy with a two-dimensional detector.