Multispectral imaging systems and methods
The methods and systems disclosed herein include obtaining a first image of a sample, where the first image corresponds to light transmitted through the sample in a first plurality of distinct spectral bands, obtaining a second image of the sample, where the second image corresponds to light transmitted through the sample in a second plurality of distinct spectral bands, and where at least some members of the second plurality of spectral bands are different from the members of the first plurality of spectral bands, and combining the first and second images to form a multispectral image stack, where each pixel in the image stack includes information corresponding to at least four distinct spectral bands, and where the at least four distinct spectral bands include at least one member from the first plurality of spectral bands and at least one member from the second plurality of spectral bands.
1. A method, comprising:
obtaining a first image of a sample, wherein the first image corresponds to first incident light transmitted through the sample in a first plurality of distinct spectral bands;
subsequent to obtaining the first image, obtaining a second image of the sample, wherein the second image corresponds to second incident light generated after the first incident light and transmitted through the sample in a second plurality of distinct spectral bands, and wherein at least some members of the second plurality of spectral bands are different from the members of the first plurality of spectral bands; and
using an electronic processor to combine the first and second images to form a multispectral image stack, wherein each pixel in the image stack comprises information corresponding to at least four distinct spectral bands, and wherein the at least four distinct spectral bands comprise at least one member from the first plurality of spectral bands and at least one member from the second plurality of spectral bands.
2. The method of claim 1 , wherein each pixel in the image stack comprises information corresponding to at least five distinct spectral bands.
3. The method of claim 1 , wherein each pixel in the image stack comprises information corresponding to at least six distinct spectral bands.
4. The method of claim 1 , wherein the first plurality of distinct spectral bands comprises a spectral band in a green region of the electromagnetic spectrum having a full width at half maximum of 40 nm or less.
5. The method of claim 4 , wherein the spectral band in the green region has a full width at half maximum of 30 nm or less.
6. The method of claim 2 , further comprising using the electronic processor to unmix the image stack to obtain one or more component images, wherein each of the component images corresponds substantially only to contributions from one of the spectral contributors in the sample.
7. The method of claim 6 , further comprising using the electronic processor to convert light intensity values corresponding to each of the pixels in the image stack to optical density units prior to unmixing the image stack.
8. The method of claim 6 , further comprising using the electronic processor to analyze the sample based on the one or more component images to determine locations of features within the sample.
9. The method of claim 1 , further comprising using a slide scanner to obtain the first and second images.
10. The method of claim 9 , wherein the first plurality of spectral bands and the second plurality of spectral bands each comprise a shared spectral band, the method further comprising using the electronic processor to align the first and second images prior to forming the image stack based on information from the first and second images corresponding to the shared spectral band.
11. A system, comprising:
a light source configured to illuminate a sample;
a detector configured to obtain one or more images of the sample; and
an electronic processor coupled to the detector and configured to:
obtain a first image of a sample, wherein the first image corresponds to first incident light generated by the light source and transmitted through the sample in a first plurality of distinct spectral bands;
subsequent to obtaining the first image, obtain a second image of the sample, wherein the second image corresponds to second incident light generated by the light source after first incident light and transmitted through the sample in a second plurality of distinct spectral bands, and wherein at least some members of the second plurality of spectral bands are different from the members of the first plurality of spectral bands; and
combine the first and second images to form a multispectral image stack, wherein each pixel in the image stack comprises information corresponding to at least four distinct spectral bands, and wherein the at least four distinct spectral bands comprise at least one member from the first plurality of spectral bands and at least one member from the second plurality of spectral bands.
12. The system of claim 11 , wherein each pixel in the image stack comprises information corresponding to at least five distinct spectral bands.
13. The system of claim 11 , wherein each pixel in the image stack comprises information corresponding to at least six distinct spectral bands.
14. The system of claim 11 , wherein the first plurality of distinct spectral bands comprises a spectral band in a green region of the electromagnetic spectrum having a full width at half maximum of 40 nm or less.
15. The system of claim 14 , wherein the spectral band in the green region has a full width at half maximum of 30 nm or less.
16. The system of claim 12 , wherein the electronic processor is further configured to unmix the image stack to obtain one or more component images, wherein each of the component images corresponds substantially only to contributions from one of the spectral contributors in the sample.
17. The system of claim 16 , wherein the electronic processor is further configured to convert light intensity values corresponding to each of the pixels in the image stack to optical density units prior to unmixing the image stack.
18. The system of claim 16 , wherein the electronic processor is further configured to analyze the sample based on the one or more component images to determine locations of features within the sample.
19. The system of claim 11 , further comprising a slide scanner that comprises the light source and the detector.
20. The system of claim 19 , wherein the first plurality of spectral bands and the second plurality of spectral bands each comprise a shared spectral band, and the electronic processor is further configured to align the first and second images prior to forming the image stack based on information from the first and second images corresponding to the shared spectral band.
21. The method of claim 1 , further comprising:
subsequent to obtaining the second image, obtaining a third image of the sample, wherein the third image corresponds to third incident light generated after the second incident light and transmitted through the sample in a third plurality of distinct spectral bands, and wherein at least some members of the third plurality of spectral bands are different from the members of the first and second pluralities of spectral bands; and
using the electronic processor to combine the third image with the first and second images to form the multispectral image stack, wherein the at least four distinct spectral bands comprise at least one member from the first plurality of spectral bands, at least one member from the second plurality of spectral bands, and at least one member from the third plurality of spectral bands.