Brillouin spectroscopy is an emerging tool for microscopic optical imaging as it allows for non-invasive and direct assessment of the viscoelastic properties of materials.Recent advances of background-free confocal Br...Brillouin spectroscopy is an emerging tool for microscopic optical imaging as it allows for non-invasive and direct assessment of the viscoelastic properties of materials.Recent advances of background-free confocal Brillouin spectrometer allows investigators to acquire the Brillouin spectra for turbid samples as well as transparent ones.However,due to strong signal loss induced by the imperfect optical setup,the Brillouin photons are usually immersed in background noise.In this report,we proposed and experimentally demonstrated multiple approaches to enhance the signal collction eficiency.A signal enhancement by>4 times can be observed,enabling ob-servation of ultra-weak signals.展开更多
In recent years,artificial intelligence has fueled the development of numerous applications[1,2].Person re-identification(re-ID)is a typical artificial intelligence system designed to automatically retrieve images of ...In recent years,artificial intelligence has fueled the development of numerous applications[1,2].Person re-identification(re-ID)is a typical artificial intelligence system designed to automatically retrieve images of specific individuals from galleries captured by different cameras[3].While supervised(in-domain)person re-ID methods have achieved considerable success in recent years[4],they remain susceptible to domain shifts.This means a model trained on one domain may fail to identify the person in another distinct domain.Collecting annotating data for every possible domain variation(e.g.,resolutions,lighting,and cameras)is impractical.展开更多
基金supported by the start-up funds available through Texas A&M Universitysupport of the NIH (Grant#R21EB011703) and the NSF (ECCS Grant#10665620,DBI Grant#10665621 and CBET Grant#10665623).
文摘Brillouin spectroscopy is an emerging tool for microscopic optical imaging as it allows for non-invasive and direct assessment of the viscoelastic properties of materials.Recent advances of background-free confocal Brillouin spectrometer allows investigators to acquire the Brillouin spectra for turbid samples as well as transparent ones.However,due to strong signal loss induced by the imperfect optical setup,the Brillouin photons are usually immersed in background noise.In this report,we proposed and experimentally demonstrated multiple approaches to enhance the signal collction eficiency.A signal enhancement by>4 times can be observed,enabling ob-servation of ultra-weak signals.
基金supported by the National Natural Science Foundation of China(Grant Nos.62276013,62141605)。
文摘In recent years,artificial intelligence has fueled the development of numerous applications[1,2].Person re-identification(re-ID)is a typical artificial intelligence system designed to automatically retrieve images of specific individuals from galleries captured by different cameras[3].While supervised(in-domain)person re-ID methods have achieved considerable success in recent years[4],they remain susceptible to domain shifts.This means a model trained on one domain may fail to identify the person in another distinct domain.Collecting annotating data for every possible domain variation(e.g.,resolutions,lighting,and cameras)is impractical.
