Tejal Shivaji Shinde is a Dual-master Biomedical engineering student at TU Delft in the Netherlands. Her study specializations include Medical Physics and Medical Devices (Bioelectronics). As a part of her Medical Physics graduation thesis, she worked on the ‘Production and separation methodologies of Silver (Ag-111) from Palladium (Pd) and restoration of Pd from washed HCl solution’ at the Reactor Institute Delft (RID). She performed research on radioisotope production, separation, and restoration methodologies. Based on the neutron flux of the nuclear reactors (both, research reactor and production reactor) and cross-sections of the given radioisotopes, she computed the production of Ag-111 with varying irradiation time for optimal irradiation conditions and target material mass. She concluded the research by suggesting optimal combinations of chemical strings and techniques which possess the potential to give a carrier-free Ag-111 product that has major applications in the field of nuclear medicine.
She did her internship at ETH Zürich in Switzerland on the topic ‘Preclinical imaging of murine skull’ where she designed, manufactured, and validated a system that is compatible with the in-vitro murine skull samples and spectrophotometer (Shimadzu UV 1610, Shimadzu Corporation, Kyoto, Japan) for the wavelength range of 550 to 950 nm for characterizing the optical properties of the skull of perfused and non-perfused mice. Her work served as a foundation for the optogenetics experiments that followed in the research group.
Tejal is a former NRL employee. She has worked here as a lab manager and a technical writer. She assisted Dr. Ninad Mehendale in his research and was responsible for maintenance of all the research documents. She is currently working on her second master thesis project for the Medical Devices track on the topic ‘Machine vision based low-cost medical strip analyzer’. For this research, she is developing an ASSURED device (Affordable, Sensitive, Specific [i.e. reduction in human mediation for determining the results], User-friendly, Rapid & Robust, Equipment-free [standalone], and deliverable) as per the norms assigned by the World Health Organization for medical sensors. She is carrying out this research at NRL in association with the Bioelectronics group at TU Delft.
Tejal’s interest lies in the field of additive manufacturing technologies (like 3D printing), nuclear physics, nuclear medicine, biomechanics, biomedical engineering and rehabilitation engineering, and her corresponding skillset includes SolidWorks, LaTeX, LTSpice, OpenSim and Physics 101 Praetor, among others.
She did her internship at ETH Zürich in Switzerland on the topic ‘Preclinical imaging of murine skull’ where she designed, manufactured, and validated a system that is compatible with the in-vitro murine skull samples and spectrophotometer (Shimadzu UV 1610, Shimadzu Corporation, Kyoto, Japan) for the wavelength range of 550 to 950 nm for characterizing the optical properties of the skull of perfused and non-perfused mice. Her work served as a foundation for the optogenetics experiments that followed in the research group.
Tejal is a former NRL employee. She has worked here as a lab manager and a technical writer. She assisted Dr. Ninad Mehendale in his research and was responsible for maintenance of all the research documents. She is currently working on her second master thesis project for the Medical Devices track on the topic ‘Machine vision based low-cost medical strip analyzer’. For this research, she is developing an ASSURED device (Affordable, Sensitive, Specific [i.e. reduction in human mediation for determining the results], User-friendly, Rapid & Robust, Equipment-free [standalone], and deliverable) as per the norms assigned by the World Health Organization for medical sensors. She is carrying out this research at NRL in association with the Bioelectronics group at TU Delft.
Tejal’s interest lies in the field of additive manufacturing technologies (like 3D printing), nuclear physics, nuclear medicine, biomechanics, biomedical engineering and rehabilitation engineering, and her corresponding skillset includes SolidWorks, LaTeX, LTSpice, OpenSim and Physics 101 Praetor, among others.