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Anuradha Ramoji

Researcher at Leibniz Institute of Photonic Technology

Publications -  29
Citations -  507

Anuradha Ramoji is an academic researcher from Leibniz Institute of Photonic Technology. The author has contributed to research in topics: Medicine & Raman spectroscopy. The author has an hindex of 9, co-authored 20 publications receiving 381 citations. Previous affiliations of Anuradha Ramoji include Karnatak University & University of Jena.

Papers
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A comparative Raman and CARS imaging study of colon tissue.

TL;DR: This first comparison establishes the foundation for further development of the CARS technology to assess tissue and identification of tissue types and characterization of variances between different tissue sections were only possible by analysis of cluster mean spectra, obtained from k-means cluster analysis.
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Toward a spectroscopic hemogram: Raman spectroscopic differentiation of the two most abundant leukocytes from peripheral blood.

TL;DR: Raman imaging was able to visualize the same morphological features as standard staining methods without the need of any label, marking a promising step toward automated Raman spectroscopic blood analysis which holds the potential not only to assign the numbers of the cells but also to yield important biochemical information.
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Combined Dielectrophoresis–Raman Setup for the Classification of Pathogens Recovered from the Urinary Tract

TL;DR: Raman spectroscopy is combined with dielectrophoresis, which enables the direct translational manipulation of bacteria in suspensions with spatial nonuniform electrical fields so as to perform specific Raman spectroscopic characterization.
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Detection and Differentiation of Bacterial and Fungal Infection of Neutrophils from Peripheral Blood Using Raman Spectroscopy

TL;DR: This work aims to establish a label-free method to indirectly detect infections and to identify the cause of infection by spectroscopic characterization of the neutrophils, and to potentially be blood-culture independent, thus saving precious time in blood stream infection diagnostics.
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Cargo–carrier interactions significantly contribute to micellar conformation and biodistribution

TL;DR: It is demonstrated that the interplay of cargo structure and encapsulation conditions affect cargo localization and the timing of release and altered chain conformations in the different micelles due to different cargo–carrier interactions leading to different localization of model drugs within the carrier.