The fluorescence spectra have been measured from native chromophores in malignant and normal human breast lung tissues. profiles were found to be different both species. In addition, one tissue exhibited Raman spectra.

Abstract Cervical cancer is one of the primary causes death in women. It should be diagnosed early and treated according to best medical advice, similar other diseases, ensure that its effects are as minimal possible. Pap smear images most constructive ways for identifying this type cancer. This study proposes a cross‐attention‐based Transfomer approach reliable classification cervical pap images. In study, we propose CerviFormer‐a model depends on Transformers thereby requires architectural...

Abstract In this work we have developed a novel rGO-MWCNT (reduced graphene oxide-multiwalled carbon nanotube) nanocomposite material with Poly-L-Lysine functionalization which can be used for detection of biomolecules enhanced sensitivity. The reduced GO sheets are found to play major role as connector and helps in the assembly bundles nanotubes (CNTs) may sometime upstanding nanostructures. overall composite structure is further fully functionalized resulting an high density amino groups...

Steady-state fluorescence spectra and excitation from native human normal malignant tumor breast tissues have been measured analyzed. Two types of found discussed. The statistics the results are given, reasons for false negative, positive, equivocal presented.

We report the potential of Mueller decomposition images to discriminate normal against dysplastic (precancerous) states in cervical tissue. It is observed that epithelium region, depolarization power sensitive morphological changes during progression from state while retardance and diattenuation do not show any significant change. These have been correlated with microscopic tissues. In contrast, it which reveals around stromal region. Additionally, we evaluated arithmetic mean their...

Abstract Steady‐state spectra, time‐resolved spectroscopic, and excitation spectra from human cancer normal tissues have been measured. Spectroscopic differences between cancerous found that could be used as a basis for an instrument the early detection of cancer.

Quantitative fluorescence spectroscopic Mueller matrix measurements from the connective tissue regions of human cervical reveal intriguing diattenuation and polarizance effects. Interestingly, estimated linear parameters were considerably reduced in precancerous tissues as compared to normal ones. These polarimetry effects autofluorescence found originate anisotropically organized collagen molecular structures present tissues. Consequently, reduction magnitude these polarimetric at higher...

Abstract Real‐time prediction about the severity of noncommunicable diseases like cancers is a boon for early diagnosis and timely cure. Optical techniques due to their minimally invasive nature provide better alternatives in this context than conventional techniques. The present study talks standalone, field portable smartphone‐based device which can classify different grades cervical cancer on basis spectral differences captured intrinsic fluorescence spectra with help AI/ML technique. In...

Intrinsic fluorescence spectra of the human normal, cervical intraepithelial neoplasia 1 (CIN1), CIN2, and cancer tissue have been extracted by effectively combining measured polarized elastic scattering spectra. The efficacy principal component analysis (PCA) to disentangle collective behavior from smaller correlated clusters in a dimensionally reduced space conjunction with intrinsic is examined. This combination unambiguously reveals biochemical changes occurring progression disease....

We present a smartphone-based bimodal device (SBBD) combining fluorescence imaging and spectroscopy for noninvasive, portable, cost-effective, real-time diagnosis of oral precancer. The employs 405 nm laser excitation to capture native from intrinsic biomarkers, including flavin adenine dinucleotide (FAD) porphyrin, across 136 subjects representing normal, OPMD, OSCC. module identifies regions interest (ROI) based on the red-to-green band ratio (porphyrinFAD), while confirms findings through...

It is challenging to quantify the self-healing efficiency in crystalline materials with atomic precision. Organic crystals capabilities are of particular interest due their wide-ranging potential applications. In this study, we present a comprehensive polarization Mueller matrix analysis crystal. Our results not only probe and crystal's various optical properties but also offer new insights into its mechanism. We observe that mechanical stress-induced changes microscopic crystal manifested...

Raman scattering (RS) from semiconductor nanostructures provide excellent information on the size of crystallites. Processing history most nanocrystalline semiconductors suggests natural incorporation a distribution crystallite sizes. In this paper, we report influence shifts in RS frequencies and line shapes. A phenomenological model is developed to obtain an analytical expression for spectral profile having Gaussian Computer simulations profiles silicon (nc-Si) demonstrate effects shifts....

Multiresolution analysis on the spatial refractive index inhomogeneities in epithelium and connective tissue regions of a human cervix reveals clear signature multifractality. Importantly, derived multifractal parameters, namely, generalized Hurst exponent width singularity spectrum, via detrended fluctuation analysis, shows interesting differences between tissues having different grades precancers. The refractive-index fluctuations are found to be more anticorrelated, strength...

Abstract Multifractal, a special class of complex self-affine processes, are under recent intensive investigations because their fundamental nature and potential applications in diverse physical systems. Here, we report on novel light scattering-based inverse method for extraction/quantification multifractality the spatial distribution refractive index biological tissues. The is based Fourier domain pre-processing via Born approximation, followed by Multifractal Detrended Fluctuation...

Analysis of spatial frequency Mueller matrix (MM) images in the Fourier domain yields quantifying parameters anisotropy stromal region normal and precancerous tissue sections human uterine cervix. The frequencies MM elements reveal reliable information microscopic structural organization arising from different orientations collagen fibers connective their randomization with disease progression. Specifically, local disorder generated periodic regular structure during growth cervical cancer...

Fluorescence from fluorophores embedded in a turbid medium like biological tissue gets strongly modulated by the wavelength dependent absorption and scattering properties of tissue. This makes it extremely difficult to extract valuable biochemical information which is present intrinsic line shape intensity fluorescence fluorophores. We an experimental approach remove distorting effect on The method based simultaneous measurement polarized elastic spectra medium. normalized (in range...

The origin of the differences in fluorescence spectra obtained from cancerous and normal human breast lung tissues is explored experimentally. chemically treated were measured to give information on source spectral differences. pulsed photoexcited by second third harmonic a 10-ps pulse Nd:glass laser are reported for lung.

DIC (Differential Interference Contrast Image) images of cervical pre-cancer tissues are taken from epithelium region, on which wavelet transform and multi-fractal analysis applied. Discrete (DWT) through Daubechies basis done for identifying fluctuations over polynomial trends clear characterization differentiation tissues. A systematic investigation denoised is carried out the continuous Morlet wavelet. The scalogram reveals changes in coefficient peak values grade-I to grade-III. Wavelet...

An optical quantitative histological method in human tissues using spatial frequencies is demonstrated. Optical frequency spectra from different stages of Cervical Intraepithelial Neoplasia (CIN) tissue are evaluated as a potential pathological tool. The degree randomness structures normal to CIN can be recognized by analysis. standard deviation, σ and tissue, obtained assuming the Gaussian distribution. A support vector machine classifier (SVM) trained subspace σ. Twenty‐eight samples...