Schematic of the UHI microscopy setup where the collimated broadband beam (radiance spectrum of the source output light is depicted in the left inset). The beam is split into reference and sample beams via the first beam splitter (BS) and collimated using L1 and L2 lenses. The imaging is performed using a UV microscope objective (UV-MO) and the interferometric data (a sample image is shown in the right inset) is recorded by the imaging spectrometer. 
In a different technique, researchers at the University of Pittsburgh used the EQ-99X to illuminate cells with light from 480-700nm in order to map their optical density properties. An increase in optical density caused by nanoscale changes architecture has proven to be a useful indicator for cancer in cells that appear normal when viewed under traditional imaging modalities. The 250μm field of view is simultaneously illuminated by a broadband reference beam and monochromatic light generated by coupling the EQ-99X to an acousto-optical tunable filter. 
For each of the >200 wavelengths, a detector records a spectral interference signal between backscattered waves from within the tissue sample and the reference waves. This spatially and spectrally encoded data cube is then used to generate a map of optical density across the cell, which can be further analyzed quantitatively to detect cancer. When combined with co-registered bright field and quantitative phase images also illuminated by the EQ-99X, nanoNAM becomes a powerful tool for label-free imaging with significant clinical potential. 
Nuclear architecture maps obtained from the three imaging modalities of nanoNAM optical microscopy system: (A) Bright-field image of an H&E-stained colon tissue; (B) corresponding transmission quantitative phase image; (C) depth-averaged drOPD maps from an unstained colon tissue section.
 Ultraviolet Hyperspectral Interferometric Microscopy. A Ojaghi, ME Fay, WA Lam, FE Robles. Scientific Reports (2018) - nature.com, https://doi.org/10.1038/s41598-018-28208-0
 Fourier phase based depth-resolved nanoscale nuclear architecture mapping for cancer detection. S. Uttam, Y. Liu, Methods (2017), https://doi.org/10.1016/j.ymeth.2017.10.011