Spectroscopic stimulated Raman scattering(SRS)imaging generates chemical maps of intrinsic molecules,with no need for prior knowledge.Despite great advances in instrumentation,the acquisition speed for a spectroscopic...Spectroscopic stimulated Raman scattering(SRS)imaging generates chemical maps of intrinsic molecules,with no need for prior knowledge.Despite great advances in instrumentation,the acquisition speed for a spectroscopic SRS image stack is fundamentally bounded by the pixel integration time.In this work,we report three-dimensional sparsely sampled spectroscopic SRS imaging that measures~20%of pixels throughout the stack.In conjunction with related work in low-rank matrix completion(e.g.,the Netflix Prize),we develop a regularized non-negative matrix factorization algorithm to decompose the sub-sampled image stack into spectral signatures and concentration maps.This design enables an acquisition speed of 0.8 s per image stack,with 50 frames in the spectral domain and 40,000 pixels in the spatial domain,which is faster than the conventional raster laser-scanning scheme by one order of magnitude.Such speed allows real-time metabolic imaging of living fungi suspended in a growth medium while effectively maintaining the spatial and spectral resolutions.This work is expected to promote broad application of matrix completion in spectroscopic laser-scanning imaging.展开更多
Lumpectomy,also called breast-conserving surgery,has become the standard surgical treatment for early-stage breast cancer.However,accurately locating the tumor during a lumpectomy,especially when the lesion is small a...Lumpectomy,also called breast-conserving surgery,has become the standard surgical treatment for early-stage breast cancer.However,accurately locating the tumor during a lumpectomy,especially when the lesion is small and nonpalpable,is a challenge.Such difficulty can lead to either incomplete tumor removal or prolonged surgical time,which result in high re-operation rates(~25%)and increased surgical costs.Here,we report a fiber optoacoustic guide(FOG)with augmented reality(AR)for sub-millimeter tumor localization and intuitive surgical guidance with minimal interference.The FOG is preoperatively implanted in the tumor.Under external pulsed light excitation,the FOG omnidirectionally broadcasts acoustic waves through the optoacoustic effect by a specially designed nano-composite layer at its tip.By capturing the acoustic wave,three ultrasound sensors on the breast skin triangulate the FOG tip’s position with 0.25-mm accuracy.An AR system with a tablet measures the coordinates of the ultrasound sensors and transforms the FOG tip’s position into visual feedback with<1-mm accuracy,thus aiding surgeons in directly visualizing the tumor location and performing fast and accurate tumor removal.We further show the use of a head-mounted display to visualize the same information in the surgeons’first-person view and achieve hands-free guidance.Towards clinical application,a surgeon successfully deployed the FOG to excise a“pseudo tumor”in a female human cadaver.With the high-accuracy tumor localization by FOG and the intuitive surgical guidance by AR,the surgeon performed accurate and fast tumor removal,which will significantly reduce re-operation rates and shorten the surgery time.展开更多
基金supported by a Keck Foundation Science and Engineering Grant and NIH R01GM118471 grant to JXC。
文摘Spectroscopic stimulated Raman scattering(SRS)imaging generates chemical maps of intrinsic molecules,with no need for prior knowledge.Despite great advances in instrumentation,the acquisition speed for a spectroscopic SRS image stack is fundamentally bounded by the pixel integration time.In this work,we report three-dimensional sparsely sampled spectroscopic SRS imaging that measures~20%of pixels throughout the stack.In conjunction with related work in low-rank matrix completion(e.g.,the Netflix Prize),we develop a regularized non-negative matrix factorization algorithm to decompose the sub-sampled image stack into spectral signatures and concentration maps.This design enables an acquisition speed of 0.8 s per image stack,with 50 frames in the spectral domain and 40,000 pixels in the spatial domain,which is faster than the conventional raster laser-scanning scheme by one order of magnitude.Such speed allows real-time metabolic imaging of living fungi suspended in a growth medium while effectively maintaining the spatial and spectral resolutions.This work is expected to promote broad application of matrix completion in spectroscopic laser-scanning imaging.
基金supported by Walther Cancer FoundationNIH grant CA192645 to J.-X.C.NSF SBIR phase I grant 108852 to Vibronix,Inc.
文摘Lumpectomy,also called breast-conserving surgery,has become the standard surgical treatment for early-stage breast cancer.However,accurately locating the tumor during a lumpectomy,especially when the lesion is small and nonpalpable,is a challenge.Such difficulty can lead to either incomplete tumor removal or prolonged surgical time,which result in high re-operation rates(~25%)and increased surgical costs.Here,we report a fiber optoacoustic guide(FOG)with augmented reality(AR)for sub-millimeter tumor localization and intuitive surgical guidance with minimal interference.The FOG is preoperatively implanted in the tumor.Under external pulsed light excitation,the FOG omnidirectionally broadcasts acoustic waves through the optoacoustic effect by a specially designed nano-composite layer at its tip.By capturing the acoustic wave,three ultrasound sensors on the breast skin triangulate the FOG tip’s position with 0.25-mm accuracy.An AR system with a tablet measures the coordinates of the ultrasound sensors and transforms the FOG tip’s position into visual feedback with<1-mm accuracy,thus aiding surgeons in directly visualizing the tumor location and performing fast and accurate tumor removal.We further show the use of a head-mounted display to visualize the same information in the surgeons’first-person view and achieve hands-free guidance.Towards clinical application,a surgeon successfully deployed the FOG to excise a“pseudo tumor”in a female human cadaver.With the high-accuracy tumor localization by FOG and the intuitive surgical guidance by AR,the surgeon performed accurate and fast tumor removal,which will significantly reduce re-operation rates and shorten the surgery time.
