Digital histopathology by infrared spectroscopic imaging
R Bhargava - Annual Review of Analytical Chemistry, 2023 - annualreviews.org
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra,
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …
Understanding the patterns that neural networks learn from chemical spectra
Analysing spectra from experimental characterization of materials is time consuming,
susceptible to distortions in data, requires specific domain knowledge, and may be …
susceptible to distortions in data, requires specific domain knowledge, and may be …
[HTML][HTML] Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy
Breast cancer is one of the most spread and monitored pathologies in high-income
countries. After breast biopsy, histological tissue is stored in paraffin, sectioned and …
countries. After breast biopsy, histological tissue is stored in paraffin, sectioned and …
Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets
SS Mukherjee, R Bhargava - Analytical chemistry, 2023 - ACS Publications
Infrared (IR) spectroscopic imaging is potentially useful for digital histopathology as it
provides spatially resolved molecular absorption spectra, which can subsequently yield …
provides spatially resolved molecular absorption spectra, which can subsequently yield …
Classification of colorectal primer carcinoma from normal colon with mid‐infrared spectra
In this project, we used formalin‐fixed paraffin‐embedded (FFPE) tissue samples to
measure thousands of spectra per tissue core with Fourier transform mid‐infrared …
measure thousands of spectra per tissue core with Fourier transform mid‐infrared …
Comprehensive Histopathology Imaging in Pancreatic Biopsies: High Definition Infrared Imaging with Machine Learning Approach
Infrared (IR) based histopathology offers a new paradigm in looking at tissues and can
provide a complimentary information source for more classical histopathology, which makes …
provide a complimentary information source for more classical histopathology, which makes …
Statistical considerations and tools to improve histopathologic protocols with spectroscopic imaging
Advances in infrared (IR) spectroscopic imaging instrumentation and data science now
present unique opportunities for large validation studies of the concept of histopathology …
present unique opportunities for large validation studies of the concept of histopathology …
Metal carbonyl loaded nanoparticles for breast cancer biomarker detection
C Richard, PH Hsieh, M Confer… - … Imaging, Sensing, and …, 2024 - spiedigitallibrary.org
The potential advantages of infrared spectroscopic imaging for examination of cells and
tissue biopsies for cancer histopathology is high, however there are fundamental limitations …
tissue biopsies for cancer histopathology is high, however there are fundamental limitations …
Weakly supervised anomaly detection coupled with Fourier transform infrared (FT-IR) spectroscopy for the identification of non-normal tissue
The detection and classification of histopathological abnormal tissue constituents using
machine learning (ML) techniques generally requires example data for each tissue or cell …
machine learning (ML) techniques generally requires example data for each tissue or cell …