A wavelength-induced frequency filtering method for fluorescent nanosensors in vivo

Koman, Volodymyr B.; Bakh, N.A.; Jin, Xiaojia; Nguyen, Freddy T.; Son, Min Ho; Kozawa, Daichi; Lee, Michael A.; Bisker, Gili; Dong, Juyao; Strano, Michael S.

doi:10.1038/s41565-022-01136-x

Cited by 35 publications

(50 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the FLI can provide high-resolution images in biological tissues, it is highly challenging to achieve such image quality beyond the optical mean transport path (~1 mm). Recently, there have been studies for FL signal detection in deep tissues [ 61 ], but they are still limited in image acquisition. In contrast, PAI can achieve images a few centimeters deep with a resolution of several hundred micrometers with the help of acoustic wave propagation, which is less diffusive compared to the use of photons.…”

Section: Principles Of Photoacoustic Imagingmentioning

confidence: 99%

Contrast Agents for Photoacoustic Imaging: A Review Focusing on the Wavelength Range

et al. 2022

View full text Add to dashboard Cite

Photoacoustic imaging using endogenous chromophores as a contrast has been widely applied in biomedical studies owing to its functional imaging capability at the molecular level. Various exogenous contrast agents have also been investigated for use in contrast-enhanced imaging and functional analyses. This review focuses on contrast agents, particularly in the wavelength range, for use in photoacoustic imaging. The basic principles of photoacoustic imaging regarding light absorption and acoustic release are introduced, and the optical characteristics of tissues are summarized according to the wavelength region. Various types of contrast agents, including organic dyes, semiconducting polymeric nanoparticles, gold nanoparticles, and other inorganic nanoparticles, are explored in terms of their light absorption range in the near-infrared region. An overview of the contrast-enhancing capacity and other functional characteristics of each agent is provided to help researchers gain insights into the development of contrast agents in photoacoustic imaging.

show abstract

Section: Principles Of Photoacoustic Imagingmentioning

confidence: 99%

Contrast Agents for Photoacoustic Imaging: A Review Focusing on the Wavelength Range

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Single-walled carbon nanotubes (SWCNTs) benefit from unique optical and electronic properties, which render them favorable fluorescent probes for imaging, sensing, and biomedical applications, − owing to their fluorescence in the near-IR range where tissue, blood, and biological samples in general are mostly transparent. − Moreover, SWCNT sensors are stable at room temperature, provide spatiotemporal information, and do not photobleach upon use, unlike many other fluorescent sensors. − The mechanism of SWCNT-based sensors usually relies on tailored functionalization of the nanotube surface, which mediates the interaction with the analyte of interest, such that binding of the target molecule results in a modulation of the emitted fluorescence. − Fluorescent SWCNT sensors were applied for the biosensing of different analytes and enzymes. ,,,,− These range from monitoring progesterone and cortisol in vivo (mice), fibrinogen and insulin in blood and cell culture, , nitroaromatics and pathogens , in vivo (plants), volatiles in the gaseous phase, to enzymatic activity. − …”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring the Activity and Inhibition of Cholinesterase Enzymes using Single-Walled Carbon Nanotube Fluorescent Sensors

2022

Self Cite

View full text Add to dashboard Cite

Cholinesterase enzymes are involved in a wide range of bodily functions, and their disruption is linked to pathologies such as neurodegenerative diseases and cancer. While cholinesterase inhibitors are used as drug treatments for diseases such as Alzheimer and dementia at therapeutic doses, acute exposure to high doses, found in pesticides and nerve agents, can be lethal. Therefore, measuring cholinesterase activity is important for numerous applications ranging from the search for novel treatments for neurodegenerative disorders to the on-site detection of potential health hazards. Here, we present the development of a near-infrared (near-IR) fluorescent single-walled carbon nanotube (SWCNT) optical sensor for cholinesterase activity and demonstrate the detection of both acetylcholinesterase and butyrylcholinesterase, as well as their inhibition. We show sub U L–1 sensitivity, demonstrate the optical response at the level of individual nanosensors, and showcase an optical signal output in the 900–1400 nm range, which overlaps with the biological transparency window. To the best of our knowledge, this is the longest wavelength cholinesterase activity sensor reported to date. Our near-IR fluorescence-based approach opens new avenues for spatiotemporal-resolved detection of cholinesterase activity, with numerous applications such as advancing the research of the cholinergic system, detecting on-site potential health hazards, and measuring biomarkers in real-time.

show abstract

“…[28] For sensing, functionalized SWCNTs can bind specific analytes such as proteins, small molecules, metal ions, or bacteria, and exhibit fluorescence modulations upon interaction, whereas for imaging, they can be easily tracked in complex biological environment owing to their nIR fluorescence. [24,[29][30][31][32][33][34] In order to fully exploit SWCNTs as optical probes for both spatial and temporal information, the nanotubes should be individually imaged, tracked, and resolved. [35] One of the challenges is the heterogeneity of SWCNT samples, stemming from the synthesis and suspension procedures, which result in a wide distribution of SWCNT lengths.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Super‐Resolution Near‐Infrared Fluorescence Microscopy of Single‐Walled Carbon Nanotubes Using Deep Learning

Kagan

Hendler‐Neumark

Wulf

et al. 2022

Advanced Photonics Research

Self Cite

View full text Add to dashboard Cite

Single‐walled carbon nanotubes (SWCNTs) have unique optical and physical properties, with numerous biomedical imaging and sensing applications, owing to their near‐infrared (nIR) fluorescence which overlaps with the biological transparency window. However, their longer emission wavelengths compared to emitters in the visible range result in a lower resolution due to the diffraction limit. Moreover, the elongated high‐aspect‐ratio structure of SWCNTs poses an additional challenge on super‐resolution techniques that assume point emitters. Utilizing the advantages of deep learning and convolutional neural networks, along with the super‐resolution radial fluctuation (SRRF) algorithm for network training, a fast, parameter‐free, computational method is offered for enhancing the spatial resolution of nIR fluorescence images of SWCNTs. An average improvement of 22% in the resolution and 47% in signal‐to‐noise ratio (SNR) compared to the original images is shown, whereas SRRF leads to only 24% SNR improvement. The approach is demonstrated for a variety of SWCNT densities and length distributions, and a wide range of imaging conditions with challenging SNRs, including real‐time videos, without compromising the temporal resolution. The results open the path for accelerated and accessible super‐resolution of nIR fluorescent SWCNTs images, further advancing their applicability as nanoscale optical probes.

show abstract

A wavelength-induced frequency filtering method for fluorescent nanosensors in vivo

Cited by 35 publications

References 60 publications

Contrast Agents for Photoacoustic Imaging: A Review Focusing on the Wavelength Range

Contrast Agents for Photoacoustic Imaging: A Review Focusing on the Wavelength Range

Monitoring the Activity and Inhibition of Cholinesterase Enzymes using Single-Walled Carbon Nanotube Fluorescent Sensors

Super‐Resolution Near‐Infrared Fluorescence Microscopy of Single‐Walled Carbon Nanotubes Using Deep Learning

Contact Info

Product

Resources

About