Measurement of tissue structures

US2016290926A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016290926-A1
Application numberUS-201414778546-A
CountryUS
Kind codeA1
Filing dateMar 21, 2014
Priority dateMar 21, 2013
Publication dateOct 6, 2016
Grant date

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Abstract

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The disclosure relates to measurement and classification of tissue structures in samples using a combination of light imaging and spectroscopy, in particular although not necessarily exclusively for detection of tumours such as basal cell carcinoma or breast tumours in tissue samples. Embodiments disclosed include a method of automatically identifying tissue structures in a sample, the method comprising the steps of: measuring ( 1702, 1703 ) a response of an area of the sample to illumination with light; identifying ( 1704 ) regions within the area having a measured response within a predetermined range; determining ( 1705 ) locations within the identified regions; performing ( 1706 ) spectroscopic analysis of the sample at the determined locations; and identifying ( 1707 ) a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein.

First claim

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1 . A method of automatically identifying tissue structures in a sample, the method comprising the steps of: measuring a response of an area of the sample to illumination with light; identifying regions within the area having a measured response within a predetermined range; determining locations within the identified regions; performing spectroscopic analysis of the sample at the determined locations; and identifying a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein. 2 . The method of claim 1 wherein the spectroscopic analysis is performed using vibrational spectroscopy. 3 . The method of claim 2 wherein the spectroscopic analysis is Raman spectroscopy. 4 . The method of claim 1 wherein the light the sample is illuminated with is ultraviolet light. 5 . The method of claim 1 wherein the measured response is a measured value of fluorescence. 6 . The method of claim 5 wherein the measured fluorescence value is a measure of intensity. 7 . The method of claim 5 wherein the measured fluorescence value is a measure of fluorescence lifetime. 8 . The method of claim 6 wherein the identified regions have a measured fluorescence value greater than or less than a predetermined threshold value. 9 . The method of claim 1 wherein the regions identified within the area have a minimum predetermined size. 10 . The method of claim 9 wherein the minimum predetermined size is a region having a linear extent of greater than around 100 μm, 50 μm, 20 μm or 10 μm, or a region having an area of greater than around 0.01 mm 2 , 0.0025 mm 2 , 0.0004 mm 2 or 0.0001 mm 2 . 11 . The method of claim 1 wherein a particular tissue structure is identified for each region based on matching a spectrum from spectroscopic analysis of one or more locations within each region from a database of spectra for different tissue structures. 12 . The method of claim 11 wherein the different tissue structures include a tumour such as a breast or skin tumour. 13 . The method of claim 12 wherein the different tissue structures include a basal cell carcinoma. 14 . The method of claim 1 wherein a number of locations are identified within each region dependent on its size. 15 . The method of claim 14 wherein two or more locations are identified within each region. 16 . The method of claim 15 wherein one of the identified regions is identified as a particular tissue structure if two or more spectra from spectroscopic analysis taken at locations within the one of the identified regions indicate the same particular tissue structure. 17 . The method of claim 16 wherein the particular tissue structure is a basal cell carcinoma or another type of tumour such as a breast tumour. 18 . The method of claim 15 wherein one of the identified regions is identified as a particular tissue structure if a majority of spectra from spectroscopic analysis at locations within the one of the identified regions indicate the particular tissue structure. 19 . The method of claim 1 wherein the locations identified within each region are at least a predetermined distance away from an outer edge of each region. 20 . The method of claim 19 wherein the predetermined distance is 10 μm, 20 μm or 50 μm. 21 . The method of claim 1 wherein each region is identified as dermis, epidermis, basal cell carcinoma or another tissue structure. 22 . An apparatus for automatically identifying tissue structures in a sample, the apparatus comprising: a sample stage for receiving a sample to be analysed; a first light source for selectively illuminating an area of the sample; a first detector for receiving light from the sample upon illumination by the first light source; a second light source for selectively illuminating a location within the area of the sample; and a spectral analyser for receiving light from the location within the area of the sample upon illumination by the second light source, the apparatus being configured to perform a method according to claim 1 . 23 . A computer program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to cause the computer to: measure a response of an area of a sample to illumination with light; identify regions within the area having a measured response within a predetermined range; determine locations within the identified regions; perform spectroscopic analysis of the sample at the determined locations; and identify a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein.

Assignees

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Classifications

  • Coherent sources; lasers · CPC title

  • Cancer · CPC title

  • Spectrofluorimetric devices · CPC title

  • Fluorescence microscopy (fluorescence microscopes per se G02B21/0076 and G02B21/16) · CPC title

  • with measurement of decay time, time resolved fluorescence · CPC title

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What does patent US2016290926A1 cover?
The disclosure relates to measurement and classification of tissue structures in samples using a combination of light imaging and spectroscopy, in particular although not necessarily exclusively for detection of tumours such as basal cell carcinoma or breast tumours in tissue samples. Embodiments disclosed include a method of automatically identifying tissue structures in a sample, the method c…
Who is the assignee on this patent?
Univ Nottingham, Royal Holloway Univ Of London
What technology area does this patent fall under?
Primary CPC classification G01N21/6486. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Oct 06 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).