The recent emergence of High Definition (HD) FT-IR and Quantum Cascade Laser (QCL) Microscopes elevated the IR imaging field very close to clinical timescales. However, the speed of acquisition and data quality are still the critical factors in reaching the clinic. Denoising offers aide in both aspects if performed properly. However, there is a lack of a direct comparison of the efficiency of denoising techniques in IR imaging in general. To achieve such comparison within a rigorous framework and obtaining the critical information about signal loss, a simulated dataset strongly bound by experimental parameters was created. Using experimental structural and spectral information and experimental noise levels data as an input for the simulation, a direct comparison of spatial (Fourier transform, Mean Filter, Weighted Mean Filter, Gauss Filter, Median Filter, spatial Wavelets and Deep Neural Networks) and spectral (Savitzky-Golay, Fourier transform, Principal Component Analysis, Minimum Noise Fraction and spectral Wavelets) denoising schemes was enabled. All of these techniques were compared on the simulated dataset, taking into account SNR gain, signal distortion and sensitivity to tuning parameters as comparison metrics. Later, the best techniques were applied to experimental data for validation. The results presented here clearly show the benefit of using hyperspectral denoising schemes such as PCA and MNF which outperform other methods.

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This paper presents a review on retinal gliosis illustrated by series of three cases of patients (a 39-year-old man and a 35-year-old woman with massive retinal gliosis (MRG) and a 51-year-old man with truly focal nodular gliosis of retina) with intraocular tumor-like masses and loss of vision, who recently suffered from painful inflammation of eyeball and who classically had a history of remote ocular trauma, onset of blindness early in lifetime or gradual but progressive loss of sight. The diagnosis of this pathological entity is given for the lesions that are composed of GFAP strongly positive, elongated, fusiform cells consistent with fibrillary astrocytes. As illustrated in cases from our pathological practice, PAS gave positive patchy disseminated reaction in form of cellular densely purplish granules in minority of cells representing glycogen storing. This feature could be consistent with PAS-positive Müller cells that also constitute retinal gliosis as one of cellular components of normal retina that is induced to reactive proliferation. Thus, the paper presents histological background and differential diagnosis of the entity.

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