Multispectral karyotyping analyzes all chromosomes in a single cell by labeling them with chromosome-specific probes conjugated to unique combinations of fluorophores. Currently available multispectral karyotyping systems require the purchase of specialized equipment and reagents. However, conventional laser scanning confocal microscopes that are capable of separating multiple overlapping emiss...

The precise analysis of mineral abundance is a key content of hyperspectral technology research. In the present paper, a new spectral unmixing method based on derivative of ratio spectroscopy (DRS) was employed for visible to short-wave infrared (VIS–SWIR; 0.4–2.5 μm) reflectance data. The mixtures of plaster and allochite with different proportions were analyzed by DRS, Fully Constrained Least...

MORE than two decades after the first efforts toward the application of spectral mixture analysis techniques to remotely sensed data [1], [2], effective spectral unmixing still remains an elusive exploitation goal. Regardless of the available spatial resolution, the spectral signals collected in natural environments are invariably a mixture of the signatures of the various materials found withi...

Multispectral optoacoustic (photoacoustic) tomography (MSOT) is a hybrid modality that can image through several millimeters to centimeters of diffuse tissues, attaining resolutions typical of ultrasound imaging. The method can further identify tissue biomarkers by decomposing the spectral contributions of different photo-absorbing molecules of interest. In this work we investigate the performa...

Accurate evaluation of metastatic lymph nodes (LNs) is indispensable for adequate treatment of colorectal cancer (CRC) patients. Here, we demonstrate detection of metastases of human CRC in removed fresh LNs using 5-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) fluorescence. A spectral unmixing method was employed to reduce the overlap of collagen autofluorescence on PpIX fluoresce...

The number of fluorescent labels that can unambiguously be distinguished in a single image when acquired through band pass filters is severely limited by the spectral overlap of available fluorophores. The recent development of spectral microscopy and the application of linear unmixing algorithms to spectrally recorded image data have allowed simultaneous imaging of fluorophores with highly ove...

We introduce a method for hyperspectral unmixing that incorporates wavelength dependence in addition to spatial dependence. Spatial dependence is incorporated into the model using class labels on the pixels that is assigned using spectral clustering. Wavelength dependence is introduced by correlating the errors in the unmixing regression models. We propose a non-standard alternating direction m...

Multidimensional fluorescence microscopy is finding service in forefront biological studies that require separation of images from different fluorophores. For example, commercial microscopes are available with multi-band analog detectors and user-friendly software for “linear unmixing” of species with overlapping emission spectra. To extend such techniques to ultrasensitive and single-molecule ...

In the last decade, the issue of endmember variability has received considerable attention, particularly when each pixel is modeled as a linear combination of endmembers or pure materials. As a result, several models and algorithms have been developed for considering the effect of endmember variability in spectral unmixing and possibly include multiple endmembers in the spectral unmixing stage....