Publication date: 9th January 2023
Cell sorting and counting technology has been broadly adopted for medical diagnosis, cell-based therapy, and biological research. Microscopy operates with image capture that is subject to an extremely constrained field-of-view, and even slow-moving targets may undergo motion blur, ghosting, and other movement-induced artifacts, which will ultimately degrade performance in developing machine learning models to perform cell sorting, detection, and tracking. Frame-based sensors are especially susceptible to these issues, and it is highly costly to overcome them with modern but conventional CMOS sensing technologies. We provide an early demonstration of a proof-of-concept system, with the overarching goals of curating a neuromorphic imaging cytometry (NIC) dataset, multimodal analysis techniques, and associated deep-learning models. We are working towards this goal by utilising an event-based camera to perform flow-imaging cytometry to capture cells in motion and train neural networks capable of identifying their morphology (size and shape) and identities. We propose that implementing a neuromorphic sensory system or developing a new class of event-based cameras customised for this purpose with our sorting strategy will unbind the applications from the constraints of framerate and provide a cost-efficient, reproducible and high-throughput imaging mechanism. While we target this early work for cell sorting, this novel idea is the first stepping-stone towards a new type of high-throughput and automated high-content image analysis system and screening instrument.
nanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.
Previously nanoGe Spring Meeting (NSM) and nanoGe Fall Meeting (NFM), MATSUS is a multiple symposia conference focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.
International Conference on Hybrid and Organic Photovoltaics
International Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.
Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics
The main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.
The International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.