Publications by authors named "Tanishq Mathew Abraham"
Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining, serves as the benchmark for disease diagnosis and comprehensive clinical assessment of tissue. However, the typical formalin-fixation, paraffin-embedding (FFPE) process is laborious and time consuming, often limiting its usage in time-sensitive applications such as surgical margin assessment. To address these challenges, we combine an emerging 3D quantitative phase imaging technology, termed quantitative oblique back illumination microscopy (qOBM), with an unsupervised generative adversarial network pipeline to map qOBM phase images of unaltered thick tissues (i.
View Article and Find Full Text PDFArticle Synopsis
- The lack of high-quality medical imaging datasets can be addressed using machine learning to create diverse images that accurately depict medical conditions and concepts.
- Current large vision-language models struggle because they're mainly trained on natural images, making their generated medical images less accurate.
- A new domain-adaptation method combines existing chest X-ray datasets and radiology reports to adapt a model, allowing it to produce synthetic medical images that are visually credible and can be tailored using specific medical text prompts.
Article Synopsis
- * New technologies, like slide-free microscopy and advanced imaging techniques, aim to speed up and enhance histopathology by providing quick and detailed images of fresh specimens, including potential for 3D analysis.
- * Artificial intelligence is also playing a role by assisting in new imaging methods, aiming to modernize histopathology practices and improve their application in contemporary medical diagnostics.
Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining, serves as the benchmark for disease diagnosis and comprehensive clinical assessment of tissue. However, the process is laborious and time-consuming, often limiting its usage in crucial applications such as surgical margin assessment. To address these challenges, we combine an emerging 3D quantitative phase imaging technology, termed quantitative oblique back illumination microscopy (qOBM), with an unsupervised generative adversarial network pipeline to map qOBM phase images of unaltered thick tissues (i.
View Article and Find Full Text PDFBackground: Fluorescence imitating brightfield imaging (FIBI) is a novel alternative microscopy method that can image freshly excised, non-sectioned tissue. We examine its potential utility in dermatopathology by examining readily available specimens embedded in paraffin blocks.
Methods: Nine skin samples embedded in paraffin blocks were superficially deparaffinized using xylene and ethanol and stained with H&E.