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  1. Article ; Online: Real-time tomography of the human brain.

    Yim, Wonjun / Mantri, Yash / Jokerst, Jesse V

    Nature biomedical engineering

    2022  Volume 6, Issue 5, Page(s) 499–500

    MeSH term(s) Brain/diagnostic imaging ; Head ; Humans ; Tomography/methods ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-05-17
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2157-846X
    ISSN (online) 2157-846X
    DOI 10.1038/s41551-022-00893-3
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  2. Article ; Online: Deep learning assisted sparse array ultrasound imaging

    Baiyan Qi / Xinyu Tian / Lei Fu / Yi Li / Kai San Chan / Chuxuan Ling / Wonjun Yim / Shiming Zhang / Jesse V. Jokerst

    PLoS ONE, Vol 18, Iss

    2023  Volume 10

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Ligation of Gold Nanoparticles with Self-Assembling, Coiled-Coil Peptides.

    Creyer, Matthew N / Retout, Maurice / Jin, Zhicheng / Yim, Wonjun / Jokerst, Jesse V

    The journal of physical chemistry. B

    2023  Volume 127, Issue 37, Page(s) 8009–8018

    Abstract: The surface of gold nanoparticles (AuNPs) can be conjugated with a wide range of highly functional biomolecules. A common pitfall when utilizing AuNPs is their tendency to aggregate, especially when their surface is functionalized with ligands of low ... ...

    Abstract The surface of gold nanoparticles (AuNPs) can be conjugated with a wide range of highly functional biomolecules. A common pitfall when utilizing AuNPs is their tendency to aggregate, especially when their surface is functionalized with ligands of low molecular weight (no steric repulsion) or ligands of neutral charge (no electrostatic repulsion). For biomedical applications, AuNPs that are colloidally stable are desirable because they have a high surface area and thus reactivity, resist sedimentation, and exhibit uniform optical properties. Here, we engineer the surface of AuNPs so that they remain stable when decorated with coiled-coil (CC) peptides while preserving the native polypeptide properties. We achieve this by using a neutral, mixed ligand layer composed of lipoic acid poly(ethylene glycol) and lipoic acid poly(ethylene glycol) maleimide to attach the CCs. Tuning the surface fraction of each component within the mixed ligand layer also allowed us to control the degree of AuNP labeling with CCs. We demonstrate the dynamic surface properties of these CC-AuNPs by performing a place-exchange reaction and their utility by designing an energy-transfer-based caspase-3 sensor. Overall, this study optimizes the surface chemistry of AuNPs to quantitatively present functional biomolecules while maintaining colloid stability.
    MeSH term(s) Gold ; Ligands ; Metal Nanoparticles ; Thioctic Acid ; Peptides ; Polyethylene Glycols
    Chemical Substances Gold (7440-57-5) ; Ligands ; Thioctic Acid (73Y7P0K73Y) ; Peptides ; Polyethylene Glycols (3WJQ0SDW1A)
    Language English
    Publishing date 2023-09-08
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 1520-5207
    ISSN (online) 1520-5207
    DOI 10.1021/acs.jpcb.3c02099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Gold-Silver Core-Shell Nanoparticle Crosslinking Mediated by Protease Activity for Colorimetric Enzyme Detection.

    Creyer, Matthew N / Jin, Zhicheng / Retout, Maurice / Yim, Wonjun / Zhou, Jiajing / Jokerst, Jesse V

    Langmuir : the ACS journal of surfaces and colloids

    2022  Volume 38, Issue 46, Page(s) 14200–14207

    Abstract: Plasmonic nanoparticles produce a localized surface plasmon resonance (LSPR) under optical excitation. The LSPR of nanoparticles can shift in response to changes in the local dielectric environment and produce a color change. This color change can be ... ...

    Abstract Plasmonic nanoparticles produce a localized surface plasmon resonance (LSPR) under optical excitation. The LSPR of nanoparticles can shift in response to changes in the local dielectric environment and produce a color change. This color change can be observed by the naked eye due to the exceptionally large extinction coefficients (10
    MeSH term(s) Gold/chemistry ; Silver/chemistry ; Colorimetry/methods ; Metal Nanoparticles/chemistry ; Proteolysis ; Surface Plasmon Resonance/methods ; Peptide Hydrolases
    Chemical Substances Gold (7440-57-5) ; Silver (3M4G523W1G) ; Peptide Hydrolases (EC 3.4.-)
    Language English
    Publishing date 2022-11-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.2c02219
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  5. Article ; Online: Correction to "Goldilocks Energy Minimum: Peptide-Based Reversible Aggregation and Biosensing".

    Yim, Wonjun / Retout, Maurice / Chen, Amanda A / Ling, Chuxuan / Amer, Lubna / Jin, Zhicheng / Chang, Yu-Ci / Chavez, Saul / Barrios, Karen / Lam, Benjamin / Li, Zhi / Zhou, Jiajing / Shi, Lingyan / Pascal, Tod A / Jokerst, Jesse V

    ACS applied materials & interfaces

    2023  Volume 15, Issue 41, Page(s) 48838

    Language English
    Publishing date 2023-10-03
    Publishing country United States
    Document type Published Erratum
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c13967
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  6. Article: Three-dimensional mapping of the greater palatine artery location and physiology.

    Qi, Baiyan / Khazeinezhad, Reza / Hariri, Ali / Yim, Wonjun / Jin, Zhicheng / Sasi, Lekshmi / Chen, Casey / Jokerst, Jesse V

    Dento maxillo facial radiology

    2023  Volume 52, Issue 8, Page(s) 20230066

    Abstract: Objective: To develop a novel technique for localizing and reconstructing the greater palatine artery (GPA) using three-dimensional (3D) technology.: Methods: A miniaturized intraoral ultrasound transducer was used to imaging landmarks including the ... ...

    Abstract Objective: To develop a novel technique for localizing and reconstructing the greater palatine artery (GPA) using three-dimensional (3D) technology.
    Methods: A miniaturized intraoral ultrasound transducer was used to imaging landmarks including the GPA, gingival margin (GM), and palatal masticatory mucosa (PMM). A 5-mm-thick solid hydrogel couplant was integrated to replace traditional ultrasound gel and avoid bubbles when moving the transducer.
    Results: A panorama image provided the relative localization of landmarks including the GPA, PMM, and hard palate. Short- and long-axis imaging of GPA was performed in five subjects including 3D mapping of GPA branches and surrounding tissues in a volume of 10 mm × 8 mm × 10 mm. Full-mouth Doppler imaging was also demonstrated on both the dorsal and ventral tongue as well as buccal mucosa and sublingual region on two subjects.
    Conclusions: This study can measure the vertical distance from the GM to the GPA and depth from PMM to GPA and visualize the GPA localization in a 3D manner, which is critical to evaluate the available volume of palatal donor tissues and avoid sectioning of GPA during surgical harvesting of the tissues. Finally, the transducer's small size facilitates full-mouth Doppler imaging with the potential to improve the assessment, diagnosis, and management of oral mucosa.
    MeSH term(s) Humans ; Palate, Hard ; Arteries/diagnostic imaging ; Mouth Mucosa ; Face
    Language English
    Publishing date 2023-10-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 221323-0
    ISSN 1476-542X ; 0250-832X ; 0349-490X
    ISSN (online) 1476-542X
    ISSN 0250-832X ; 0349-490X
    DOI 10.1259/dmfr.20230066
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Deep learning assisted sparse array ultrasound imaging.

    Qi, Baiyan / Tian, Xinyu / Fu, Lei / Li, Yi / Chan, Kai San / Ling, Chuxuan / Yim, Wonjun / Zhang, Shiming / Jokerst, Jesse V

    PloS one

    2023  Volume 18, Issue 10, Page(s) e0293468

    Abstract: This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 ... ...

    Abstract This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 channels in which the pitch is two or eight times the original array. The deep learning assisted sparse array imaging system was demonstrated on ex vivo porcine teeth. 64- and 16-channel sparse array images were used as the input and corresponding 128-channel dense array images were used as the ground truth. The structural similarity index measure, mean squared error, and peak signal-to-noise ratio of predicted images improved significantly (p < 0.0001). The resolution of predicted images presented close values to ground truth images (0.18 mm and 0.15 mm versus 0.15 mm). The gingival thickness measurement showed a high level of agreement between the predicted sparse array images and the ground truth images, as indicated with a bias of -0.01 mm and 0.02 mm for the 64- and 16-channel predicted images, respectively, and a Pearson's r = 0.99 (p < 0.0001) for both. The gingival thickness bias measured by deep learning assisted sparse array imaging and clinical probing needle was found to be <0.05 mm. Additionally, the deep learning model showed capability of generalization. To conclude, the deep learning assisted sparse array can reconstruct high-resolution ultrasound image using only 16 channels of 128 channels. The deep learning model performed generalization capability for the 64-channel array, while the 16-channel array generalization would require further optimization.
    MeSH term(s) Animals ; Swine ; Deep Learning ; Ultrasonography ; Artifacts ; Generalization, Psychological ; Gingiva ; Image Processing, Computer-Assisted
    Language English
    Publishing date 2023-10-30
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0293468
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  8. Article ; Online: Deep learning assisted sparse array ultrasound imaging.

    Baiyan Qi / Xinyu Tian / Lei Fu / Yi Li / Kai San Chan / Chuxuan Ling / Wonjun Yim / Shiming Zhang / Jesse V Jokerst

    PLoS ONE, Vol 18, Iss 10, p e

    2023  Volume 0293468

    Abstract: This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 ... ...

    Abstract This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 channels in which the pitch is two or eight times the original array. The deep learning assisted sparse array imaging system was demonstrated on ex vivo porcine teeth. 64- and 16-channel sparse array images were used as the input and corresponding 128-channel dense array images were used as the ground truth. The structural similarity index measure, mean squared error, and peak signal-to-noise ratio of predicted images improved significantly (p < 0.0001). The resolution of predicted images presented close values to ground truth images (0.18 mm and 0.15 mm versus 0.15 mm). The gingival thickness measurement showed a high level of agreement between the predicted sparse array images and the ground truth images, as indicated with a bias of -0.01 mm and 0.02 mm for the 64- and 16-channel predicted images, respectively, and a Pearson's r = 0.99 (p < 0.0001) for both. The gingival thickness bias measured by deep learning assisted sparse array imaging and clinical probing needle was found to be <0.05 mm. Additionally, the deep learning model showed capability of generalization. To conclude, the deep learning assisted sparse array can reconstruct high-resolution ultrasound image using only 16 channels of 128 channels. The deep learning model performed generalization capability for the 64-channel array, while the 16-channel array generalization would require further optimization.
    Keywords Medicine ; R ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: 3D-Bioprinted Phantom with Human Skin Phototypes for Biomedical Optics.

    Yim, Wonjun / Zhou, Jiajing / Sasi, Lekshmi / Zhao, Jiayu / Yeung, Justin / Cheng, Yong / Jin, Zhicheng / Johnson, Wade / Xu, Ming / Palma-Chavez, Jorge / Fu, Lei / Qi, Baiyan / Retout, Maurice / Shah, Nisarg J / Bae, Jinhye / Jokerst, Jesse V

    Advanced materials (Deerfield Beach, Fla.)

    2023  Volume 35, Issue 30, Page(s) e2305227

    Language English
    Publishing date 2023-07-27
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202305227
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  10. Article ; Online: Peptide-Induced Fractal Assembly of Silver Nanoparticles for Visual Detection of Disease Biomarkers.

    Retout, Maurice / Mantri, Yash / Jin, Zhicheng / Zhou, Jiajing / Noël, Grégoire / Donovan, Brian / Yim, Wonjun / Jokerst, Jesse V

    ACS nano

    2022  Volume 16, Issue 4, Page(s) 6165–6175

    Abstract: We report the peptide-programmed fractal assembly of silver nanoparticles (AgNPs) in a diffusion-limited aggregation (DLA) mode, and this change in morphology generates a significant color change. We show that peptides with specific repetitions of ... ...

    Abstract We report the peptide-programmed fractal assembly of silver nanoparticles (AgNPs) in a diffusion-limited aggregation (DLA) mode, and this change in morphology generates a significant color change. We show that peptides with specific repetitions of defined amino acids (
    MeSH term(s) Humans ; Silver/chemistry ; Metal Nanoparticles/chemistry ; Colorimetry ; Limit of Detection ; Fractals ; SARS-CoV-2 ; COVID-19/diagnosis ; Peptides ; Peptide Hydrolases ; Biomarkers
    Chemical Substances Silver (3M4G523W1G) ; Peptides ; Peptide Hydrolases (EC 3.4.-) ; Biomarkers
    Language English
    Publishing date 2022-04-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 1936-086X
    ISSN (online) 1936-086X
    DOI 10.1021/acsnano.1c11643
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