[HTML][HTML] Fourier transform infrared spectroscopy in oral cancer diagnosis
Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral
cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer …
cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer …
In silico cancer research towards 3R
Background Improving our understanding of cancer and other complex diseases requires
integrating diverse data sets and algorithms. Intertwining in vivo and in vitro data and in …
integrating diverse data sets and algorithms. Intertwining in vivo and in vitro data and in …
Emerging themes in image informatics and molecular analysis for digital pathology
R Bhargava, A Madabhushi - Annual review of biomedical …, 2016 - annualreviews.org
Pathology is essential for research in disease and development, as well as for clinical
decision making. For more than 100 years, pathology practice has involved analyzing …
decision making. For more than 100 years, pathology practice has involved analyzing …
Infrared spectroscopic imaging advances as an analytical technology for biomedical sciences
TP Wrobel, R Bhargava - Analytical chemistry, 2018 - ACS Publications
Optical chemical imaging seeks to nondestructively acquire spatially resolved chemical
information without the use of labels or probes. The combination of vibrational mid-infrared …
information without the use of labels or probes. The combination of vibrational mid-infrared …
Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …
examination of the tissue by a pathologist. Though these methods continue to remain the …
[HTML][HTML] Shining a light on clinical spectroscopy: Translation of diagnostic IR, 2D-IR and Raman spectroscopy towards the clinic
HJ Butler, JM Cameron, CA Jenkins, G Hithell… - Clinical …, 2019 - Elsevier
In recent years, the application of vibrational spectroscopy in biomedical research has
rapidly expanded; covering aspects of pharmaceutical development, to point-of-care …
rapidly expanded; covering aspects of pharmaceutical development, to point-of-care …
Colon cancer grading using infrared spectroscopic imaging-based deep learning
Tumor grade assessment is critical to the treatment of cancers. A pathologist typically
evaluates grade by examining morphologic organization in tissue using hematoxylin and …
evaluates grade by examining morphologic organization in tissue using hematoxylin and …
Towards translation of discrete frequency infrared spectroscopic imaging for digital histopathology of clinical biopsy samples
Fourier transform infrared (FT-IR) spectroscopic imaging has been widely tested as a tool for
stainless digital histology of biomedical specimens, including for the identification of …
stainless digital histology of biomedical specimens, including for the identification of …
INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival
S Tiwari, A Kajdacsy-Balla, J Whiteley, G Cheng… - Science …, 2021 - science.org
The structure and organization of a tumor and its microenvironment are often associated
with cancer outcomes due to spatially varying molecular composition and signaling. A …
with cancer outcomes due to spatially varying molecular composition and signaling. A …
Digital staining of high-definition Fourier transform infrared (FT-IR) images using deep learning
Histological stains, such as hematoxylin and eosin (H&E), are routinely used in clinical
diagnosis and research. While these labels offer a high degree of specificity, throughput is …
diagnosis and research. While these labels offer a high degree of specificity, throughput is …