Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion

Satat, Guy; Heshmat, Barmak; Barsi, Christopher; Raviv, Dan; Chen, Ou; Bawendi, Moungi G.; Raskar, Ramesh

doi:10.1038/ncomms7796

Cited by 37 publications

(24 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, ZDS-coated SPIONs can retain the magnetic properties of as-synthesized hydrophobic SPIONs, making them useful for MRI. The biocompatibility of ZDS was also confirmed by other research groups on several types of nanoparticles (10,38,39). Fig.…”

supporting

confidence: 67%

Exceedingly small iron oxide nanoparticles as positive MRI contrast agents

Bruns

Kaul

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

397

322

View full text Add to dashboard Cite

Medical imaging is routine in the diagnosis and staging of a wide range of medical conditions. In particular, magnetic resonance imaging (MRI) is critical for visualizing soft tissue and organs, with over 60 million MRI procedures performed each year worldwide. About one-third of these procedures are contrast-enhanced MRI, and gadolinium-based contrast agents (GBCAs) are the mainstream MRI contrast agents used in the clinic. GBCAs have shown efficacy and are safe to use with most patients; however, some GBCAs have a small risk of adverse effects, including nephrogenic systemic fibrosis (NSF), the untreatable condition recently linked to gadolinium (Gd) exposure during MRI with contrast. In addition, Gd deposition in the human brain has been reported following contrast, and this is now under investigation by the US Food and Drug Administration (FDA). To address a perceived need for a Gdfree contrast agent with pharmacokinetic and imaging properties comparable to GBCAs, we have designed and developed zwitterioncoated exceedingly small superparamagnetic iron oxide nanoparticles (ZES-SPIONs) consisting of ∼3-nm inorganic cores and ∼1-nm ultrathin hydrophilic shell. These ZES-SPIONs are free of Gd and show a high T 1 contrast power. We demonstrate the potential of ZES-SPIONs in preclinical MRI and magnetic resonance angiography. exceedingly small iron oxide nanoparticles | renal clearance | gadoliniumfree positive MR contrast agent | preclinical magnetic resonance imaging M RI signal arises from the excitation of low-energy nuclear spins, which are formed in a permanent magnetic field, by applying radiofrequency pulses followed by the measurement of the spin relaxation processes (i.e

show abstract

supporting

confidence: 67%

Exceedingly small iron oxide nanoparticles as positive MRI contrast agents

Bruns

Kaul

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

397

322

View full text Add to dashboard Cite

show abstract

“…Active time-of-flight (ToF) methods are used to overcome scattering with the advantage of wide-field imaging, and minimal (or no) raster scan [15]. ToF systems are either impulse [16,17,18] or phase [19,20,21,22] based. Different aspects of imaging have been demonstrated with ToF systems like full scene reconstruction [23], pose estimation [24], tracking [25], character recognition [26], and medical applications such as seeing through tissue [27].…”

Section: Introductionmentioning

confidence: 99%

Object classification through scattering media with deep learning on time resolved measurement

Satat¹,

Tancik²,

Gupta³

et al. 2017

Opt. Express

Self Cite

122

View full text Add to dashboard Cite

We demonstrate an imaging technique that allows identification and classification of objects hidden behind scattering media and is invariant to changes in calibration parameters within a training range. Traditional techniques to image through scattering solve an inverse problem and are limited by the need to tune a forward model with multiple calibration parameters (like camera field of view, illumination position etc.). Instead of tuning a forward model and directly inverting the optical scattering, we use a data driven approach and leverage convolutional neural networks (CNN) to learn a model that is invariant to calibration parameters variations within the training range and nearly invariant beyond that. This effectively allows robust imaging through scattering conditions that is not sensitive to calibration. The CNN is trained with a large synthetic dataset generated with a Monte Carlo (MC) model that contains random realizations of major calibration parameters. The method is evaluated with a time-resolved camera and multiple experimental results are provided including pose estimation of a mannequin hidden behind a paper sheet with 23 correct classifications out of 30 tests in three poses (76.6% accuracy on real-world measurements). This approach paves the way towards real-time practical non line of sight (NLOS) imaging applications.

show abstract

“…3-D imaging is used in many applications, [58][59][60][61][62][63][64][65][66][67] and numerous techniques have been developed, including structured illumination, 68,69 holography, 70 streak imaging, 71,72 integral imaging, 73 multiple camera or multiple single-pixel detector photogrammetry, 74,75 and time-of-flight (ToF) detection based on kinect sensors 76 and single-photon avalanche diodes. 77,78 Recently, these 3-D imaging techniques have been increasingly challenged to capture information fast.…”

Section: Recording Three-dimensional Objectsmentioning

confidence: 99%

Single-shot compressed ultrafast photography: a review

Zhang

Yang

et al. 2020

Adv. Photon.

View full text Add to dashboard Cite

Compressed ultrafast photography (CUP) is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames. This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot. With recent unprecedented technical developments and extensions of this methodology, it has been widely used in ultrafast optical imaging and metrology, ultrafast electron diffraction and microscopy, and information security protection. We review the basic principles of CUP, its recent advances in data acquisition and image reconstruction, its fusions with other modalities, and its unique applications in multiple research fields.

show abstract

Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion

Cited by 37 publications

References 34 publications

Exceedingly small iron oxide nanoparticles as positive MRI contrast agents

Exceedingly small iron oxide nanoparticles as positive MRI contrast agents

Object classification through scattering media with deep learning on time resolved measurement

Single-shot compressed ultrafast photography: a review

Contact Info

Product

Resources

About