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Urban JM, Chiang W, Hammond JW, Cogan NMB, Litzburg A, Burke R, Stern HA, Gelbard HA, Nilsson BL, Krauss TD. Quantum Dots for Improved Single-Molecule Localization Microscopy. J Phys Chem B 2021; 125:2566-2576. [PMID: 33683893 PMCID: PMC8080873 DOI: 10.1021/acs.jpcb.0c11545] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Colloidal semiconductor quantum dots (QDs) have long established their versatility and utility for the visualization of biological interactions. On the single-particle level, QDs have demonstrated superior photophysical properties compared to organic dye molecules or fluorescent proteins, but it remains an open question as to which of these fundamental characteristics are most significant with respect to the performance of QDs for imaging beyond the diffraction limit. Here, we demonstrate significant enhancement in achievable localization precision in QD-labeled neurons compared to neurons labeled with an organic fluorophore. Additionally, we identify key photophysical parameters of QDs responsible for this enhancement and compare these parameters to reported values for commonly used fluorophores for super-resolution imaging.
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Affiliation(s)
- Jennifer M Urban
- Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, United States
| | - Wesley Chiang
- Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, New York 14642, United states
| | - Jennetta W Hammond
- Center for Neurotherapeutics Discovery and Department of Neurology, University of Rochester Medical Center, Rochester, New York 14642, United states
| | - Nicole M B Cogan
- Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, United States
| | - Angela Litzburg
- Center for Neurotherapeutics Discovery and Department of Neurology, University of Rochester Medical Center, Rochester, New York 14642, United states
| | - Rebeckah Burke
- Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, United States
| | - Harry A Stern
- Center for Integrated Research and Computing, University of Rochester, Rochester, New York 14627-0216, United States
| | - Harris A Gelbard
- Center for Neurotherapeutics Discovery and Department of Neurology, University of Rochester Medical Center, Rochester, New York 14642, United states
- Departments of Pediatrics, Neuroscience, and Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642, United states
| | - Bradley L Nilsson
- Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, United States
| | - Todd D Krauss
- Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, United States
- The Institute of Optics, University of Rochester, Rochester, New York 14627-0216, United States
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Urban BE, Dong B, Zhang X, Yang H, Zhang HF. Patterned-illumination second harmonic generation microscopy of collagen fibrils in rat scleras. OPTICS LETTERS 2018; 43:5190-5193. [PMID: 30382963 DOI: 10.1364/ol.43.005190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 09/24/2018] [Indexed: 06/08/2023]
Abstract
We developed a patterned-illumination second harmonic generation (PI-SHG) microscopy, which combines the principle of structured illumination reconstruction with SHG microscopy for label-free super-resolution imaging. We confirmed that PI-SHG microscopy can achieve 1.59-time resolution improvement compared to conventional SHG microscopy by imaging nanowire samples. We further demonstrated three-dimensional PI-SHG microscopy in imaging ex vivo collagen fibrils in rat scleras.
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Del Bonis-O’Donnell JT, Chio L, Dorlhiac GF, McFarlane IR, Landry MP. Advances in Nanomaterials for Brain Microscopy. NANO RESEARCH 2018; 11:5144-5172. [PMID: 31105899 PMCID: PMC6516768 DOI: 10.1007/s12274-018-2145-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/05/2018] [Accepted: 07/08/2018] [Indexed: 05/19/2023]
Abstract
Microscopic imaging of the brain continues to reveal details of its structure, connectivity, and function. To further improve our understanding of the emergent properties and functions of neural circuits, new methods are necessary to directly visualize the relationship between brain structure, neuron activity, and neurochemistry. Advances in engineering the chemical and optical properties of nanomaterials concurrent with developments in deep-tissue microscopy hold tremendous promise for overcoming the current challenges associated with in vivo brain imaging, particularly for imaging the brain through optically-dense brain tissue, skull, and scalp. To this end, developments in nanomaterials offer much promise toward implementing tunable chemical functionality for neurochemical targeting and sensing, and fluorescence stability for long-term imaging. In this review, we summarize current brain microscopy methods and describe the diverse classes of nanomaterials recently leveraged as contrast agents and functional probes for microscopic optical imaging of the brain.
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Affiliation(s)
| | - Linda Chio
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Gabriel F Dorlhiac
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Ian R McFarlane
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Markita P Landry
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
- Innovative Genomics Institute (IGI), Berkeley, CA 94720
- California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, CA 94720
- Chan-Zuckerberg Biohub, San Francisco, CA 94158
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