| Patent application number | Description | Published |
|---|
| 20080294032 | Spectral Imaging of Biological Samples - The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components. | 11-27-2008 |
| 20090245605 | SPECTRAL IMAGING OF BIOLOGICAL SAMPLES - The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components. | 10-01-2009 |
| 20090297016 | CLASSIFYING IMAGE FEATURES - Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images. | 12-03-2009 |
| 20090324051 | Image Classifier Training - Methods are disclosed that include: (a) applying a first stain to a first sample having a plurality of regions, where the first stain selectively binds to only a first subset of the regions of the first sample; (b) applying a second stain to the first sample, where the second stain binds to a second set of regions of the first sample; (c) obtaining an image of the first sample, and analyzing the image to obtain a first component image corresponding substantially only to spectral contributions from the first stain, and a second component image corresponding substantially only to spectral contributions from the second stain; and (d) training a classifier to identify regions of a second sample based on information derived from the first and second component images, the identified regions corresponding to the first subset of regions of the first sample. | 12-31-2009 |
| 20100075373 | Multi-Spectral Imaging Including At Least One Common Stain - A method including: providing a sample with M components to be labeled, where M>2; labeling the components with N stains, where N| 03-25-2010 | |
| 20110182490 | VISUALIZATION OF STAINED SAMPLES - Methods and systems are disclosed that include: applying an immunohistochemical stain, eosin, and a counterstain to a sample; obtaining a plurality of images of the sample, each of the plurality of images corresponding to radiation from the sample in a different wavelength band; decomposing the plurality of images of the sample to obtain component images corresponding to the immunohistochemical stain, eosin, and the counterstain; and generating a sample image based on the component images, where the sample image includes contributions from the counterstain and from one of the immunohistochemical stain and eosin, and substantially not from the other of the immunohistochemical stain and eosin. | 07-28-2011 |
| 20110255753 | CLASSIFYING IMAGE FEATURES - Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images. | 10-20-2011 |
