Structures of langya virus fusion protein ectodomain and immunogenic compositions derived therefrom
US-2024358817-A1 · Oct 31, 2024 · US
US2016290926A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016290926-A1 |
| Application number | US-201414778546-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 21, 2014 |
| Priority date | Mar 21, 2013 |
| Publication date | Oct 6, 2016 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
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.
Opening claim text (preview).
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.
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
Related publications grouped by family.
Answers are generated from the same data shown on this page.