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Full-Text Articles in Nanotechnology
Development Of Liposomes Using Microfluids For Delivery Of Mir-205, Victoria Herrera, Rahul Tiwari, Meghana Kolli, Neeraj Chauhan, Eswara Naga Hanuma Kumar Ghali, Subhash C. Chauhan, Murali Yallapu
Development Of Liposomes Using Microfluids For Delivery Of Mir-205, Victoria Herrera, Rahul Tiwari, Meghana Kolli, Neeraj Chauhan, Eswara Naga Hanuma Kumar Ghali, Subhash C. Chauhan, Murali Yallapu
Research Symposium
Background: The therapeutic application of microRNA(s) in the field of cancer has generated significant attention in research. miR-205 is a tumor suppressor in various cancers. However, the delivery of miR-205 is an unmet clinical need. Thus, the development of liposomal formulation platform to deliver miR-205 is highly sought. The most common applications of liposome formulations are vaccines and anticancer formulations (e.g., mRNA, small molecule drugs). However, large-scale production with precise control of size and size distribution of the lipid-based drug delivery systems (DDSs) is one of the major challenges in the pharmaceutical industry. The objective of this study is to …
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Graduate Industrial Research Symposium
Hyperspectral imaging (HSI) is a promising modality in medicine with many potential applications. This study focuses on developing a label-free lipid nanoparticle characterization method using a convolutional neural network (CNN) analysis of HSI images. The HSI data, hypercube, consists of a series of images acquired at different wavelengths for the same field of view, providing continuous spectra information for each pixel. Three distinct liposome samples were collected for analysis. Advanced image preprocessing and classification methods for HSI data were developed to differentiate liposomes based on their material compositions. Our machine learning-based classification method was able to distinguish different liposome types …