Event cameras detect intensity changes rather than absolute intensity,recording variations as a stream of“event.”Intensity reconstruction from these sparse events remains a significant challenge.Previous approaches ...Event cameras detect intensity changes rather than absolute intensity,recording variations as a stream of“event.”Intensity reconstruction from these sparse events remains a significant challenge.Previous approaches focused on transforming motion-induced events into videos or achieving intensity imaging for static scenes through modulation devices at the acquisition end.In this paper,we present inter-event interval microscopy(IEIM),a paradigm-shifting technique enabling static and dynamic fluorescence imaging through photon flux-to-temporal encoding,which integrates a pulse-light modulation device into a microscope equipped with an event camera.We also develop the inter-event interval(IEI)reconstruction algorithm for IEIM,which quantifies time intervals between consecutive events at each pixel.With a fixed threshold in the event camera,this time interval can directly encode intensity.The integration of pulse modulation enables IEIM to achieve static and dynamic fluorescence imaging with a fixed event camera.We evaluate the state-of-the-art performance of IEIM using simulated and real-world data under both static and dynamic scenes.We also demonstrate that IEIM achieves high-dynamic,high-speed imaging at 800 Hz in mimetic dynamic mice brain tissues.Furthermore,we show that IEIM enables imaging the movements of in vivo freshwater euglenae at 500 Hz.展开更多
Particle size and shape characteristics are commonly measured with two-dimensional(2D)imaging techniques,two of which are static or dynamic imaging techniques.These 2D particle characteristics need to be applied to pa...Particle size and shape characteristics are commonly measured with two-dimensional(2D)imaging techniques,two of which are static or dynamic imaging techniques.These 2D particle characteristics need to be applied to particulate processes where they model three-dimensional(3D)processes.The correlation between 2D and 3D particle characteristics is therefore necessary,but the knowledge is still limited to either mathematically simple shapes or specific sets of investigated bulk solids.A particle dataset consisting of six bulk solids measured with X-ray microscopy was used to simulate the results of 2D imaging techniques to create a dataset to test the correlation between sets of particle characteristics.The dataset thus created offers the possibility to study the correlation between characteristic values and robustly predict the 3D properties of bulk solids measured with 2D measurement techniques.Several correlations are determined.These include predictive equations for Wadell's sphericity(3D)from 2D shape factors and particle width(3D)from Feret diameters(2D).The correlations have been validated with dynamic image analysis measurements.The correlations allow the practitioner in principle to predict particle sphericity and sieve size distribution from dynamic image analysis for compact particles.展开更多
基金National Natural Science Foundation of China(62371006,62401477,U24B20140)Natural Science Foundation of Beijing Municipality(3242008).
文摘Event cameras detect intensity changes rather than absolute intensity,recording variations as a stream of“event.”Intensity reconstruction from these sparse events remains a significant challenge.Previous approaches focused on transforming motion-induced events into videos or achieving intensity imaging for static scenes through modulation devices at the acquisition end.In this paper,we present inter-event interval microscopy(IEIM),a paradigm-shifting technique enabling static and dynamic fluorescence imaging through photon flux-to-temporal encoding,which integrates a pulse-light modulation device into a microscope equipped with an event camera.We also develop the inter-event interval(IEI)reconstruction algorithm for IEIM,which quantifies time intervals between consecutive events at each pixel.With a fixed threshold in the event camera,this time interval can directly encode intensity.The integration of pulse modulation enables IEIM to achieve static and dynamic fluorescence imaging with a fixed event camera.We evaluate the state-of-the-art performance of IEIM using simulated and real-world data under both static and dynamic scenes.We also demonstrate that IEIM achieves high-dynamic,high-speed imaging at 800 Hz in mimetic dynamic mice brain tissues.Furthermore,we show that IEIM enables imaging the movements of in vivo freshwater euglenae at 500 Hz.
基金supported by the German Federal Ministry of Education and Research through the research project InfraDatRec(grant no.03XP0426A).
文摘Particle size and shape characteristics are commonly measured with two-dimensional(2D)imaging techniques,two of which are static or dynamic imaging techniques.These 2D particle characteristics need to be applied to particulate processes where they model three-dimensional(3D)processes.The correlation between 2D and 3D particle characteristics is therefore necessary,but the knowledge is still limited to either mathematically simple shapes or specific sets of investigated bulk solids.A particle dataset consisting of six bulk solids measured with X-ray microscopy was used to simulate the results of 2D imaging techniques to create a dataset to test the correlation between sets of particle characteristics.The dataset thus created offers the possibility to study the correlation between characteristic values and robustly predict the 3D properties of bulk solids measured with 2D measurement techniques.Several correlations are determined.These include predictive equations for Wadell's sphericity(3D)from 2D shape factors and particle width(3D)from Feret diameters(2D).The correlations have been validated with dynamic image analysis measurements.The correlations allow the practitioner in principle to predict particle sphericity and sieve size distribution from dynamic image analysis for compact particles.
