Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rawal, Shorya; Sinha, Shambhavi; Jayapriya, J.; Vinay, M. Title A name given to the resource Flowing Blood Analysis &amp; Separation: Integrating Raman Spectroscopy &amp; Acoustophoresis in a Microfluidic System Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 2025 3rd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICPEEV67897.2025.11291246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICPEEV67897.2025.11291246</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032375308?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032375308?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rawal S., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Sinha S., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Jayapriya J., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Vinay M., Christ University, Department of Computer Science, Karnataka, Bangalore, India Description An account of the resource The proposed system combines Raman Spectroscopy and Acoustophoresis in a microfluidic environment to provide label-free analysis and separation of the cells present in the blood, including red blood cells, white blood cells and platelets. Based on the Raman Effect, Raman Spectroscopy captures crucial information about the structural and vibrational traits of the blood sample, exposing the molecules to monochromatic radiation and recording their Raman shift. This data is processed using LSTM recurrent neural networks, creating a deep-learning framework for species identification and quantification. The model can forecast the cell population in the blood sample and obtain information on the size and compressibility of individual cells due to the microfluidic nature of the data received by the Raman Spectroscope. Raman spectra allow estimation of the cell size and compressibility, guiding cell separation using acoustophoresis and allowing adjustments of the acoustic wave frequency based on the estimated size and compressibility of the cells. The targeted cells are directed toward a designated collection chamber within the microfluidic system by dynamically adjusting the acoustic wave frequency. Repeated application allows complete separation of the cells and pressure-driven delivery of the targeted cells to their respective collection reservoirs. 2025 IEEE. Subject The topic of the resource Acoustophoresis; Blood Cell Separation; Long Short-Term Memory Recurrent Neural Networks; Microfluidic Systems; Raman Spectroscopy Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158606-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online