CoChat
Sign Up
Cited by 33

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Intravital microscopy for real-time monitoring of drug delivery and nanobiological processes

Momoh, Jeffrey, Kapsokalyvas, Dimitrios, Vogt, Michael, Hak, Sjoerd, Kiessling, Fabian, van Zandvoort, Marc, Lammers, Twan, Sofias, Alexandros Marios·2022·Advanced Drug Delivery Reviews
DOI 10.1016/j.addr.2022.114528
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.addr.2022.114528

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 169

  1. Pittet, 2011, Intravital imaging, Cell, 147, 983, 10.1016/j.cell.2011.11.004 · DOI · Paper page
  2. Van Dyck, 2021, Vande Velde, Probe-based intravital microscopy: filling the gap between in vivo imaging and tissue sample microscopy in basic research and clinical applications, J. Phys. Photon., 3, 032003, 10.1088/2515-7647/ac0804 · DOI
  3. Lassailly, 2013, Multimodal imaging reveals structural and functional heterogeneity in different bone marrow compartments: functional implications on hematopoietic stem cells, Blood, 122, 1730, 10.1182/blood-2012-11-467498 · DOI
  4. Hara, 2012, Molecular imaging of fibrin deposition in deep vein thrombosis using a new fibrin-targeted near-infrared fluorescence (NIRF) imaging strategy, JACC. Cardiovasc. Imag., 5, 607, 10.1016/j.jcmg.2012.01.017 · DOI
  5. Karreman, 2016, Fast and precise targeting of single tumor cells in vivo by multimodal correlative microscopy, J. Cell Sci., 129, 444
  6. Sofias, 2021, Therapeutic and diagnostic targeting of fibrosis in metabolic, proliferative and viral disorders, Adv. Drug Deliv. Rev., 175, 113831, 10.1016/j.addr.2021.113831 · DOI
  7. de Maar, 2020, Spatial heterogeneity of nanomedicine investigated by multiscale imaging of the drug, the nanoparticle and the tumour environment, Theranostics, 10, 1884, 10.7150/thno.38625 · DOI · Paper page
  8. Rytelewski, 2019, Merger of dynamic two-photon and phosphorescence lifetime microscopy reveals dependence of lymphocyte motility on oxygen in solid and hematological tumors, J. Immunother. Cancer., 7, 78, 10.1186/s40425-019-0543-y · DOI
  9. Desjardins, 2019, Awake mouse imaging: from two-photon microscopy to blood oxygen level-dependent functional magnetic resonance imaging, Biol. Psychiatry Cogn. Neurosci. Neuroimag., 4, 533
  10. Schuh, 2016, Long wavelength multiphoton excitation is advantageous for intravital kidney imaging, Kidney Int., 89, 712, 10.1038/ki.2015.323 · DOI
  11. N.G. Horton, K. Wang, D. Kobat, C.G. Clark, F.W. Wise, C.B. Schaffer, C. Xu, In vivo three-photon microscopy of subcortical structures within an intact mouse brain, Nat. Photon. 73. 7 (2013) 205–209. <https://doi.org/10.1038/nphoton.2012.336>. · DOI · Paper page
  12. Andresen, 2009, Infrared multiphoton microscopy: subcellular-resolved deep tissue imaging, Curr. Opin. Biotechnol., 20, 54, 10.1016/j.copbio.2009.02.008 · DOI
  13. D. Kedrin, B. Gligorijevic, J. Wyckoff, V. V. Verkhusha, J. Condeelis, J.E. Segall, J. van Rheenen, Intravital imaging of metastatic behavior through a mammary imaging window, Nat. Methods 2008 512. 5 (2008) 1019–1021. <https://doi.org/10.1038/nmeth.1269>. · DOI
  14. Egeblad, 2008, Visualizing stromal cell dynamics in different tumor microenvironments by spinning disk confocal microscopy, Dis. Model. Mech., 1, 155, 10.1242/dmm.000596 · DOI
  15. Bins, 2007, Intravital imaging of fluorescent markers and FRET probes by DNA tattooing, BMC Biotechnol., 7, 1, 10.1186/1472-6750-7-2 · DOI
  16. Breart, 2008, Two-photon imaging of intratumoral CD8+ T cell cytotoxic activity during adoptive T cell therapy in mice, J. Clin. Invest., 118, 1390, 10.1172/JCI34388 · DOI
  17. Bajénoff, 2006, Stromal cell networks regulate lymphocyte entry, migration, and territoriality in lymph nodes, Immunity, 25, 989, 10.1016/j.immuni.2006.10.011 · DOI
  18. Wyckoff, 2007, Direct visualization of macrophage-assisted tumor cell intravasation in mammary tumors, Cancer Res., 67, 2649, 10.1158/0008-5472.CAN-06-1823 · DOI
  19. Rueckel, 2006, Adaptive wavefront correction in two-photon microscopy using coherence-gated wavefront sensing, Proc. Natl. Acad. Sci. U. S. A., 103, 17137, 10.1073/pnas.0604791103 · DOI
  20. Dong, 2005, Intravital leukocyte detection using the gradient inverse coefficient of variation, IEEE Trans. Med. Imaging., 24, 910, 10.1109/TMI.2005.846856 · DOI
  21. Mempel, 2004, In vivo imaging of leukocyte trafficking in blood vessels and tissues, Curr. Opin. Immunol., 16, 406, 10.1016/j.coi.2004.05.018 · DOI
  22. Brown, 2003, Dynamic imaging of collagen and its modulation in tumors in vivo using second-harmonic generation, Nat. Med., 96, 796, 10.1038/nm879 · DOI
  23. Seshadri, 2007, Visualizing the acute effects of vascular-targeted therapy in vivo using intravital microscopy and magnetic resonance imaging: correlation with endothelial apoptosis, cytokine induction, and treatment outcome, Neoplasia., 9, 128, 10.1593/neo.06748 · DOI
  24. Neeman, 2001, In vivo BOLD contrast MRI mapping of subcutaneous vascular function and maturation: Validation by intravital microscopy, Magn. Reson. Med., 45, 887, 10.1002/mrm.1118 · DOI
  25. Miller, 2002, Two-photon imaging of lymphocyte motility and antigen response in intact lymph node, Science, 296, 1869, 10.1126/science.1070051 · DOI
  26. Brown, 2001, In vivo measurement of gene expression, angiogenesis and physiological function in tumors using multiphoton laser scanning microscopy, Nat. Med., 77, 864, 10.1038/89997 · DOI
  27. Svoboda, 1997, In vivo dendritic calcium dynamics in neocortical pyramidal neurons, Nature, 3856612, 161, 10.1038/385161a0 · DOI
  28. Naumov, 1999, Cellular expression of green fluorescent protein, coupled with high-resolution in vivo videomicroscopy, to monitor steps in tumor metastasis, J. Cell Sci., 112, 1835, 10.1242/jcs.112.12.1835 · DOI
  29. White, 1987, An evaluation of confocal versus conventional imaging of biological structures by fluorescence light microscopy, J. Cell Biol., 105, 41, 10.1083/jcb.105.1.41 · DOI
  30. Brakenhoff, 1989, Three-dimensional imaging in fluorescence by confocal scanning microscopy, J. Microsc., 153, 151, 10.1111/j.1365-2818.1989.tb00555.x · DOI
  31. W. Denk, J.H. Strickler, W.W. Webb, Two-photon laser scanning fluorescence microscopy, Science (80-.). 248 (1990) 73–76. <https://doi.org/10.1126/SCIENCE.2321027>. · DOI · Paper page
  32. Hoover, 2013, Advances in multiphoton microscopy technology, Nat. Photon., 72, 93, 10.1038/nphoton.2012.361 · DOI
  33. Xu, 1996, Multiphoton fluorescence excitation: new spectral windows for biological nonlinear microscopy, Proc. Natl. Acad. Sci., 93, 10763, 10.1073/pnas.93.20.10763 · DOI
  34. H. SW, B. K, S. M, S. A, M. HM, G. I, L. JR, Three-photon excitation in fluorescence microscopy, J. Biomed. Opt. 1 (1996) 71. <https://doi.org/10.1117/12.229062>. · DOI
  35. Liu, 2019, The critical role of electrolyte gating on the hydrogen evolution performance of monolayer MoS2, Nano Lett., 19, 8118, 10.1021/acs.nanolett.9b03337 · DOI
  36. Becker, 2012, Fluorescence lifetime imaging – techniques and applications, J. Microsc., 247, 119, 10.1111/j.1365-2818.2012.03618.x · DOI · Paper page
  37. Power, 2017, A guide to light-sheet fluorescence microscopy for multiscale imaging, Nat. Methods, 144, 360, 10.1038/nmeth.4224 · DOI
  38. J. Huisken, J. Swoger, F. Del Bene, J. Wittbrodt, E.H.K. Stelzer, Optical sectioning deep inside live embryos by selective plane illumination microscopy, Science (80-.). 305 (2004) 1007–1009. <https://doi.org/10.1126/SCIENCE.1100035/SUPPL_FILE/HUISKEN.SOM.PDF>. · DOI
  39. P.-Y. Lin, S.-P.L. Hwang, C.-H. Lee, B.-C. Chen, Two-photon scanned light sheet fluorescence microscopy with axicon imaging for fast volumetric imaging, Https://Doi.Org/10.1117/1.JBO.26.11.116503. 26 (2021) 116503. <https://doi.org/10.1117/1.JBO.26.11.116503>. · DOI
  40. Andresen, 2012, High-Resolution Intravital Microscopy, PLoS One., 7, e50915, 10.1371/journal.pone.0050915 · DOI
  41. Steffens, 2020, In vivo STED microscopy: a roadmap to nanoscale imaging in the living mouse, Methods., 174, 42, 10.1016/j.ymeth.2019.05.020 · DOI
  42. Soulet, 2020, Multiphoton intravital microscopy in small animals: motion artefact challenges and technical solutions, J. Microsc., 278, 3, 10.1111/jmi.12880 · DOI
  43. Masedunskas, 2012, Intravital microscopy: a practical guide on imaging intracellular structures in live animals, Bioarchitecture., 2, 143, 10.4161/bioa.21758 · DOI
  44. Prunier, 2017, Procedures and applications of long-term intravital microscopy, Methods., 128, 52, 10.1016/j.ymeth.2017.06.029 · DOI
  45. Karreman, 2016, Intravital correlative microscopy: imaging life at the nanoscale, Trends Cell Biol., 26, 848, 10.1016/j.tcb.2016.07.003 · DOI
  46. Hao, 2010, In vivo non-linear optical (NLO) imaging in live rabbit eyes using the Heidelberg Two-Photon Laser Ophthalmoscope, Exp. Eye Res., 91, 308, 10.1016/j.exer.2010.06.007 · DOI
  47. C. Schwarz, R. Sharma, W.S. Fischer, M. Chung, G. Palczewska, K. Palczewski, D.R. Williams, J.J. Hunter, K. Tsunoda, G. Hanazono, K. Inomata, Y. Kazato, W. Suzuki, M. Tanifuji, Safety assessment in macaques of light exposures for functional two-photon ophthalmoscopy in humans, Biomed. Opt. Express 7(12) (2016) 5148–5169. <https://doi.org/10.1364/BOE.7.005148>. · DOI
  48. A. Batista, H.G. Breunig, T. Hager, B. Seitz, K. König, Early evaluation of corneal collagen crosslinking in ex-vivo human corneas using two-photon imaging, Sci. Reports 2019 91. 9 (2019) 1–9. <https://doi.org/10.1038/s41598-019-46572-3>. · DOI
  49. Dondossola, 2021, Host responses to implants revealed by intravital microscopy, Nat. Rev. Mater., 71, 6, 10.1038/s41578-021-00369-x · DOI
  50. Wang, 2021, Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans, Cytom. Part A, 99, 560, 10.1002/cyto.a.24325 · DOI
  51. Rebollo, 2014, Live imaging in Drosophila: the optical and genetic toolkits, Methods., 68, 48, 10.1016/j.ymeth.2014.04.021 · DOI
  52. Dunst, 2019, Imaging Flies by fluorescence microscopy: principles, technologies, and applications, Genetics., 211, 15, 10.1534/genetics.118.300227 · DOI
  53. Sieber, 2019, Zebrafish as a preclinical in vivo screening model for nanomedicines, Adv. Drug Deliv. Rev., 151–152, 152, 10.1016/j.addr.2019.01.001 · DOI
  54. Marques, 2019, Model systems for regeneration: Zebrafish, Dev., 146
  55. Pantazis, 2014, Advances in whole-embryo imaging: a quantitative transition is underway, Nat. Rev. Mol. Cell Biol., 155, 327, 10.1038/nrm3786 · DOI
  56. Coste, 2020, Intravital imaging techniques for biomedical and clinical research, Cytom. Part A, 97, 448, 10.1002/cyto.a.23963 · DOI
  57. Sofias, 2019, Simple and robust intravital microscopy procedures in hybrid TIE2GFP-BALB/c transgenic mice, Mol. Imaging Biol., 223, 486
  58. Kroemer, 2008, Tumor cell metabolism: cancer’s Achilles’ heel, Cancer Cell., 13, 472, 10.1016/j.ccr.2008.05.005 · DOI · Paper page
  59. Hanahan, 2000, The hallmarks of cancer, Cell., 100, 57, 10.1016/S0092-8674(00)81683-9 · DOI · Paper page
  60. Tong, 2014, Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism, ISME J., 811, 2193, 10.1038/ismej.2014.64 · DOI
  61. Fox, 2005, Fuel feeds function: energy metabolism and the T-cell response, Nat. Rev. Immunol., 511, 844, 10.1038/nri1710 · DOI
  62. Zhu, 2017, Near-simultaneous intravital microscopy of glucose uptake and mitochondrial membrane potential, key endpoints that reflect major metabolic axes in cancer, Sci. Rep., 7, 1, 10.1038/s41598-017-14226-x · DOI
  63. Skala, 2007, In vivo multiphoton fluorescence lifetime imaging of protein-bound and free nicotinamide adenine dinucleotide in normal and precancerous epithelia, J. Biomed. Opt., 12, 024014, 10.1117/1.2717503 · DOI
  64. M.G. Vander Heiden, L.C. Cantley, C.B. Thompson, Understanding the warburg effect: the metabolic requirements of cell proliferation NIH public access, Science (80-.). 324 (2009) 1029–1033. <https://doi.org/10.1126/science.1160809>. · DOI · Paper page
  65. Schaefer, 2019, NADH autofluorescence—a marker on its way to boost bioenergetic research, Cytom. Part A, 95, 34, 10.1002/cyto.a.23597 · DOI
  66. Hato, 2017, Two-photon intravital fluorescence lifetime imaging of the kidney reveals cell-type specific metabolic signatures, J. Am. Soc. Nephrol., 28, 2420, 10.1681/ASN.2016101153 · DOI
  67. Thurber, 2013, Single-cell and subcellular pharmacokinetic imaging allows insight into drug action in vivo, Nat. Commun., 4, 1504, 10.1038/ncomms2506 · DOI
  68. Miller, 2017, Imaging of anticancer drug action in single cells, Nat. Rev. Cancer, 177, 399, 10.1038/nrc.2017.41 · DOI · Paper page
  69. Laughney, 2014, Single-cell pharmacokinetic imaging reveals a therapeutic strategy to overcome drug resistance to the microtubule inhibitor eribulin, Sci. Transl. Med., 6, 10.1126/scitranslmed.3009318 · DOI
  70. Nakasone, 2012, Imaging tumor-stroma interactions during chemotherapy reveals contributions of the microenvironment to resistance, Cancer Cell., 21, 488, 10.1016/j.ccr.2012.02.017 · DOI
  71. Li, 2020, Single-cell intravital microscopy of trastuzumab quantifies heterogeneous in vivo kinetics, Cytom. Part A, 97, 528, 10.1002/cyto.a.23872 · DOI
  72. Popović, 2010, A nanoparticle size series for in vivo fluorescence imaging, Angew. Chem. Int. Ed., 49, 8649, 10.1002/anie.201003142 · DOI
  73. Naumenko, 2019, Extravasating neutrophils open vascular barrier and improve liposomes delivery to tumors, ACS Nano., 13, 12599, 10.1021/acsnano.9b03848 · DOI
  74. A.M. Sofias, G. Bjørkøy, J. Ochando, L. Sønstevold, M. Hegvik, C. de L. Davies, O. Haraldseth, T. Lammers, W.J.M. Mulder, S. Hak, Cyclic arginine–glycine–aspartate-decorated lipid nanoparticle targeting toward inflammatory lesions involves hitchhiking with phagocytes, Adv. Sci. 8 (2021) 2100370. <https://doi.org/10.1002/ADVS.202100370>. · DOI
  75. S. Burkitt, M. Mehraein, R.K. Stanciauskas, J. Campbell, S. Fraser, C. Zavaleta, Label-free visualization and tracking of gold nanoparticles in vasculature using multiphoton luminescence, Nanomater 10 (2020) 2239. <https://doi.org/10.3390/NANO10112239>. · DOI
  76. Ouyang, 2020, The dose threshold for nanoparticle tumour delivery, Nat. Mater., 19, 1362, 10.1038/s41563-020-0755-z · DOI
  77. Pozebon, 2017, Recent applications of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) for biological sample analysis: a follow-up review, J. Anal. At. Spectrom., 32, 890, 10.1039/C7JA00026J · DOI
  78. Secklehner, 2017, Intravital microscopy in historic and contemporary immunology, Immunol. Cell Biol., 95, 506, 10.1038/icb.2017.25 · DOI
  79. Manley, 2020, Frontline science: dynamic cellular and subcellular features of migrating leukocytes revealed by in vivo lattice lightsheet microscopy, J. Leukoc. Biol., 108, 455, 10.1002/JLB.3HI0120-589R · DOI
  80. Marki, 2018, Rolling neutrophils form tethers and slings under physiologic conditions in vivo, J. Leukoc. Biol., 103, 67, 10.1189/jlb.1AB0617-230R · DOI
  81. Lämmermann, 2013, Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo, Nature., 498, 371, 10.1038/nature12175 · DOI
  82. F. Combes, A.M. Sofias, S. McCafferty, H. Huysmans, J. De Temmerman, S. Hak, E. Meyer, N.N. Sanders, Mononuclear but not polymorphonuclear phagocyte depletion increases circulation times and improves mammary tumor-homing efficiency of donor bone marrow-derived monocytes, Cancers 11 (2019) 1752. <https://doi.org/10.3390/CANCERS11111752>. · DOI
  83. McDonald, 2017, Platelets and neutrophil extracellular traps collaborate to promote intravascular coagulation during sepsis in mice, Blood., 129, 1357, 10.1182/blood-2016-09-741298 · DOI
  84. Estrella, 2013, Acidity generated by the tumor microenvironment drives local invasion, Cancer Res., 73, 1524, 10.1158/0008-5472.CAN-12-2796 · DOI
  85. Vakoc, 2009, Three-dimensional microscopy of the tumor microenvironment in vivo using optical frequency domain imaging, Nat. Med., 1510, 1219, 10.1038/nm.1971 · DOI
  86. E.B. Brown, R.B. Campbell, Y. Tsuzuki, L. Xu, P. Carmeliet, D. Fukumura, R.K. Jain, M. EB, T. Y, X. L, C. RB, C. P, F. D, J. RK, In vivo measurement of gene expression, angiogenesis and physiological function in tumors using multiphoton laser scanning microscopy 7 (2001) 864–868. <https://doi.org/10.1038/89997>. · DOI
  87. Belli, 2018, Targeting the microenvironment in solid tumors, Cancer Treat. Rev., 65, 22, 10.1016/j.ctrv.2018.02.004 · DOI
  88. Binnewies, 2018, Understanding the tumor immune microenvironment (TIME) for effective therapy, Nat. Med., 245, 541, 10.1038/s41591-018-0014-x · DOI · Paper page
  89. Miller, 2017, Imaging the pharmacology of nanomaterials by intravital microscopy: toward understanding their biological behavior, Adv. Drug Deliv. Rev., 113, 61, 10.1016/j.addr.2016.05.023 · DOI
  90. Madsen, 2017, Tumor-associated macrophages derived from circulating inflammatory monocytes degrade collagen through cellular uptake, Cell Rep., 21, 3662, 10.1016/j.celrep.2017.12.011 · DOI
  91. Chen, 2019, Therapeutic remodeling of the tumor microenvironment enhances nanoparticle delivery, Adv. Sci., 6, 1802070, 10.1002/advs.201802070 · DOI
  92. Hirata, 2015, Intravital imaging reveals how BRAF inhibition generates drug-tolerant microenvironments with high integrin β1/FAK signaling, Cancer Cell., 27, 574, 10.1016/j.ccell.2015.03.008 · DOI · Paper page
  93. M. Turk, V. Naumenko, D.J. Mahoney, C.N. Jenne, Tracking cell recruitment and behavior within the tumor microenvironment using advanced intravital imaging approaches, Cells 7 (2018) 69. <https://doi.org/10.3390/CELLS7070069>. · DOI
  94. Janiurek, 2019, Apolipoprotein M-bound sphingosine-1-phosphate regulates blood–brain barrier paracellular permeability and transcytosis, Elife, 8
  95. Marcos-Contreras, 2020, Selective targeting of nanomedicine to inflamed cerebral vasculature to enhance the blood–brain barrier, Proc. Natl. Acad. Sci. U.S.A., 117, 3405, 10.1073/pnas.1912012117 · DOI
  96. Zhao, 2020, Targeting strategies for tissue-specific drug delivery, Cell, 181, 151, 10.1016/j.cell.2020.02.001 · DOI
  97. Maeda, 2000, Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review, J. Control. Release., 65, 271, 10.1016/S0168-3659(99)00248-5 · DOI · Paper page
  98. Danhier, 2016, To exploit the tumor microenvironment: since the EPR effect fails in the clinic, what is the future of nanomedicine?, J. Control. Release., 244, 108, 10.1016/j.jconrel.2016.11.015 · DOI · Paper page
  99. Matsumoto, 2016, Vascular bursts enhance permeability of tumour blood vessels and improve nanoparticle delivery, Nat. Nanotechnol., 116, 533, 10.1038/nnano.2015.342 · DOI
  100. Miller, 2017, Radiation therapy primes tumors for nanotherapeutic delivery via macrophage-mediated vascular bursts, Sci. Transl. Med., 9, 10.1126/scitranslmed.aal0225 · DOI
  101. Griffin, 2017, Revealing dynamics of accumulation of systemically injected liposomes in the skin by intravital microscopy, ACS Nano., 11, 11584, 10.1021/acsnano.7b06524 · DOI
  102. Phillips, 2014, Clinical translation of an ultrasmall inorganic optical-PET imaging nanoparticle probe, Sci. Transl. Med., 6, 10.1126/scitranslmed.3009524 · DOI
  103. Benezra, 2011, Multimodal silica nanoparticles are effective cancer-targeted probes in a model of human melanoma, J. Clin. Invest., 121, 2768, 10.1172/JCI45600 · DOI
  104. A.M. Sofias, Y.C. Toner, A.E. Meerwaldt, M.M.T. van Leent, G. Soultanidis, M. Elschot, H. Gonai, K. Grendstad, Å. Flobak, U. Neckmann, C. Wolowczyk, E.L. Fisher, T. Reiner, C. de L. Davies, G. Bjørkøy, A.J.P. Teunissen, J. Ochando, C. Pérez-Medina, W.J.M. Mulder, S. Hak, Tumor targeting by αvβ3-integrin-specific lipid nanoparticles occurs via phagocyte hitchhiking, ACS Nano. 14 (2020) 7832–7846. <https://doi.org/10.1021/ACSNANO.9B08693>. · DOI
  105. Smith, 2014, Selective uptake of single-walled carbon nanotubes by circulating monocytes for enhanced tumour delivery, Nat. Nanotechnol., 9, 481, 10.1038/nnano.2014.62 · DOI
  106. Chu, 2015, Neutrophil-mediated delivery of therapeutic nanoparticles across blood vessel barrier for treatment of inflammation and infection, ACS Nano., 9, 11800, 10.1021/acsnano.5b05583 · DOI
  107. Naumenko, 2021, Intravital imaging of liposome behavior upon repeated administration: a step towards the development of liposomal companion diagnostic for cancer nanotherapy, J. Control. Release., 330, 244, 10.1016/j.jconrel.2020.12.014 · DOI
  108. Germano, 2013, Role of macrophage targeting in the antitumor activity of trabectedin, Cancer Cell., 23, 249, 10.1016/j.ccr.2013.01.008 · DOI
  109. Luedde, 2014, Cell death and cell death responses in liver disease: mechanisms and clinical relevance, Gastroenterology, 147, 765, 10.1053/j.gastro.2014.07.018 · DOI
  110. B.R. Stockwell, J.P. Friedmann Angeli, H. Bayir, A.I. Bush, M. Conrad, S.J. Dixon, S. Fulda, S. Gascón, S.K. Hatzios, V.E. Kagan, K. Noel, X. Jiang, A. Linkermann, M.E. Murphy, M. Overholtzer, A. Oyagi, G.C. Pagnussat, J. Park, Q. Ran, C.S. Rosenfeld, K. Salnikow, D. Tang, F.M. Torti, S. V. Torti, S. Toyokuni, K.A. Woerpel, D.D. Zhang, Ferroptosis: a regulated cell death nexus linking metabolism, redox biology, and Disease, Cell 171 (2017) 273–285. <https://doi.org/10.1016/J.CELL.2017.09.021>. · DOI · Paper page
  111. Kroemer, 2013, Immunogenic cell death in cancer therapy, Http://Dx.Doi.Org/10.1146/Annurev-Immunol-032712-100008, 31, 51 · DOI · Paper page
  112. Green, 1998, Mitochondria and apoptosis, New Ser., 281, 1309
  113. Galluzzi, 2018, Molecular mechanisms of cell death: recommendations of the nomenclature committee on cell death 2018, Cell Death Differ., 25, 486, 10.1038/s41418-017-0012-4 · DOI · Paper page
  114. Schießl, 2016, Just look! intravital microscopy as the best means to study kidney cell death dynamics, Semin. Nephrol., 36, 220, 10.1016/j.semnephrol.2016.03.009 · DOI
  115. Yang, 2003, Visualization of cell death in vivo during murine endotoxin-induced uveitis, Invest. Ophthalmol. Vis. Sci., 44, 1993, 10.1167/iovs.02-0582 · DOI
  116. Janssen, 2013, Intravital FRET imaging of tumor cell viability and mitosis during chemotherapy, PLoS One., 8, e64029, 10.1371/journal.pone.0064029 · DOI
  117. Schießl, 2016, Intravital imaging reveals angiotensin ii–induced transcytosis of albumin by podocytes, J. Am. Soc. Nephrol., 27, 731, 10.1681/ASN.2014111125 · DOI
  118. Fridlender, 2009, Polarization of Tumor-Associated Neutrophil (TAN) phenotype by TGF-β: “N1” versus “N2” TAN, Cancer Cell., 16, 183, 10.1016/j.ccr.2009.06.017 · DOI
  119. Silvestre-Roig, 2019, Neutrophil diversity in health and disease, Trends Immunol., 40, 565, 10.1016/j.it.2019.04.012 · DOI
  120. Ng, 2019, Heterogeneity of neutrophils, Nat. Rev. Immunol., 194, 255, 10.1038/s41577-019-0141-8 · DOI
  121. Cohen, 2018, Alveolar macrophages provide an early mycobacterium tuberculosis niche and initiate dissemination, Cell Host Microbe., 24, 439, 10.1016/j.chom.2018.08.001 · DOI
  122. Mowat, 2017, Barrier-tissue macrophages: functional adaptation to environmental challenges, Nat. Med., 2311, 1258, 10.1038/nm.4430 · DOI
  123. Westphalen, 2014, Sessile alveolar macrophages communicate with alveolar epithelium to modulate immunity, Nature, 5067489, 503, 10.1038/nature12902 · DOI · Paper page
  124. Westphalen, 2014, Sessile alveolar macrophages modulate immunity through connexin 43-based epithelial communication, Nature, 506, 503, 10.1038/nature12902 · DOI · Paper page
  125. Bhattacharya, 2016, Macrophage-epithelial interactions in pulmonary alveoli, Semin. Immunopathol., 384, 461, 10.1007/s00281-016-0569-x · DOI
  126. A.S. Neupane, M. Willson, A.K. Chojnacki, F. Vargas E Silva Castanheira, C. Morehouse, A. Carestia, A.E. Keller, M. Peiseler, A. DiGiandomenico, M.M. Kelly, M. Amrein, C. Jenne, A. Thanabalasuriar, P. Kubes, Patrolling Alveolar Macrophages Conceal Bacteria from the Immune System to Maintain Homeostasis, Cell. 183 (2020) 110–125.e11. <https://doi.org/10.1016/J.CELL.2020.08.020>. · DOI
  127. De Niz, 2019, Intravital microscopy: Imaging host–parasite interactions in the brain, Cell. Microbiol., 21, e13024, 10.1111/cmi.13024 · DOI
  128. van Rheenen, 2021, Intravital microscopy to illuminate cell state plasticity during metastasis, Curr. Opin. Cell Biol., 72, 28, 10.1016/j.ceb.2021.04.004 · DOI
  129. C.D. Paul, P. Mistriotis, K. Konstantopoulos, Cancer cell motility: lessons from migration in confined spaces, Nat. Rev. Cancer 2016 172. 17 (2016) 131–140. <https://doi.org/10.1038/nrc.2016.123>. · DOI
  130. De Palma, 2005, Tie2 identifies a hematopoietic lineage of proangiogenic monocytes required for tumor vessel formation and a mesenchymal population of pericyte progenitors, Cancer Cell., 8, 211, 10.1016/j.ccr.2005.08.002 · DOI · Paper page
  131. Lin, 2006, Macrophages regulate the angiogenic switch in a mouse model of breast cancer, Cancer Res., 66, 11238, 10.1158/0008-5472.CAN-06-1278 · DOI · Paper page
  132. Robinson, 2009, Tumor microenvironment of metastasis in human breast carcinoma: a potential prognostic marker linked to hematogenous dissemination, Clin. Cancer Res., 15, 2433, 10.1158/1078-0432.CCR-08-2179 · DOI
  133. Roh-Johnson, 2014, Macrophage contact induces RhoA GTPase signaling to trigger tumor cell intravasation, Oncogene., 33, 4203, 10.1038/onc.2013.377 · DOI
  134. Harney, 2015, Real-time imaging reveals local, transient vascular permeability and tumor cell intravasation stimulated by Tie2Hi macrophage-derived VEGFA, Cancer Discov., 5, 932, 10.1158/2159-8290.CD-15-0012 · DOI
  135. D’Asti, 2012, Oncogenic extracellular vesicles in brain tumor progression, Front. Physiol., 3, 10.3389/fphys.2012.00294 · DOI
  136. Vickers, 2011, MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins, Nat. Cell Biol., 134, 423, 10.1038/ncb2210 · DOI · Paper page
  137. Skog, 2008, Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers, Nat. Cell Biol., 1012, 1470, 10.1038/ncb1800 · DOI · Paper page
  138. van der V. KE, A. ER, Z. X, L. C, C. E, O. D, P. S, M. O, C. MH, S. J, K. AM, S.-R. A, M. TR, E.K. J, H. SE, B. XO, Directly visualized glioblastoma-derived extracellular vesicles transfer RNA to microglia/macrophages in the brain, Neuro. Oncol. 18 (2016) 58–69. <https://doi.org/10.1093/NEUONC/NOV244>. · DOI · Paper page
  139. Sarhan, 2018, Immunological consequences of kidney cell death, Cell Death Dis., 92, 1
  140. Rosin, 2011, Dangers within: DAMP responses to damage and cell death in kidney disease, J. Am. Soc. Nephrol., 22, 416, 10.1681/ASN.2010040430 · DOI
  141. L. A, C. G, D. G, K. U, K. S, D. Z, Regulated cell death in AKI, J. Am. Soc. Nephrol. 25 (2014) 2689–2701. <https://doi.org/10.1681/ASN.2014030262>. · DOI
  142. Peti-Peterdi, 2000, Macula densa cell water transport assessed by two-photon laser scanning fluorescence microscopy, FASEB J., 14
  143. Cl, 2001, Three-dimensional imaging of embryonic mouse kidney by two-photon microscopy, Am. J. Pathol., 158, 49, 10.1016/S0002-9440(10)63943-0 · DOI
  144. Hato, 2018, Kidney imaging: – intravital microscopy, Methods Mol. Biol., 1763, 129, 10.1007/978-1-4939-7762-8_12 · DOI
  145. Baudry, 2008, In vivo reactive oxygen species production induced by ischemia in muscle arterioles of mice: involvement of xanthine oxidase and mitochondria, Https://Doi.Org/10.1152/Ajpheart.00378.2007, 294, 821 · DOI
  146. Am, 2013, In vivo multiphoton imaging of mitochondrial structure and function during acute kidney injury, Kidney Int., 83, 72, 10.1038/ki.2012.328 · DOI
  147. J.S. Di Martino, A.R. Nobre, C. Mondal, I. Taha, E.F. Farias, E.J. Fertig, A. Naba, J.A. Aguirre-Ghiso, J.J. Bravo-Cordero, A tumor-derived type III collagen-rich ECM niche regulates tumor cell dormancy, Nat. Cancer 2021 31. 3 (2021) 90–107. <https://doi.org/10.1038/s43018-021-00291-9>. · DOI
  148. Niers, 2012, Single reporter for targeted multimodal in vivo imaging, J. Am. Chem. Soc., 134, 5149, 10.1021/ja209868g · DOI
  149. Giampetraglia, 2021, Recent advances in intravital microscopy for preclinical research, Curr. Opin. Chem. Biol., 63, 200, 10.1016/j.cbpa.2021.05.010 · DOI
  150. Ko, 2022, In vivo click chemistry enables multiplexed intravital microscopy, Adv. Sci., 2200064, 10.1002/advs.202200064 · DOI
  151. Zhang, 2020, In vivo two-photon microscopy reveals the contribution of Sox9+ cell to kidney regeneration in a mouse model with extracellular vesicle treatment, J. Biol. Chem., 295, 12203, 10.1074/jbc.RA120.012732 · DOI
  152. Brighton, 2018, New mechanisms of resistance to MEK inhibitors in melanoma revealed by intravital imaging, Cancer Res., 78, 542, 10.1158/0008-5472.CAN-17-1653 · DOI
  153. Gabriel, 2018, Intravital microscopy in the study of the tumor microenvironment: from bench to human application, Oncotarget., 9, 20165, 10.18632/oncotarget.24957 · DOI
  154. Wang, 2010, Two-photon microscopy of deep intravital tissues and its merits in clinical research, J. Microsc., 238, 1, 10.1111/j.1365-2818.2009.03330.x · DOI
  155. Gabriel, 2021, A pilot trial of intravital microscopy in the study of the tumor vasculature of patients with peritoneal carcinomatosis, Sci. Reports, 111, 1
  156. W. Becker, L. Braun, Metabolic FLIM at the dawn of clinical application, 11648 (2021) 116480J. <https://doi.org/10.1117/12.2578319>. · DOI
  157. A. Rück, P. Schäfer, B. von Einem, I.S. Kritchenkov, S. Kalinina, Metabolic NADH/FAD/FMN FLIM and oxygen PLIM: multiphoton luminescence lifetime imaging on the way to clinical diagnosis 11244 (2020) 112440M. <https://doi.org/10.1117/12.2546095>. · DOI
  158. Z. Wang, Y. Zheng, D. Zhao, Z. Zhao, L. Liu, A. Pliss, F. Zhu, J. Liu, J. Qu, P. Luan, Applications of fluorescence lifetime imaging in clinical medicine, https://Doi.Org/10.1142/S179354581830001X. 11 (2017). https://doi.org/10.1142/S179354581830001X. · DOI
  159. Ouyang, 2021, FLIM as a promising tool for cancer diagnosis and treatment monitoring, Nano-Micro Lett., 131, 1
  160. Studier, 2020, Multiphoton FLIM is gaining ground as a clinical tool (Conference Presentation), SPIE, 112441Q
  161. Ching, 2018, Opportunities and obstacles for deep learning in biology and medicine, J. R. Soc. Interface., 15, 10.1098/rsif.2017.0387 · DOI · Paper page
  162. Chittajallu, 2015, In vivo cell-cycle profiling in xenograft tumors by quantitative intravital microscopy, Nat. Methods, 126, 577, 10.1038/nmeth.3363 · DOI
  163. Gregório da Silva, 2021, Detecting cells in intravital video microscopy using a deep convolutional neural network, Comput. Biol. Med., 129, 104133, 10.1016/j.compbiomed.2020.104133 · DOI
  164. Coffey, 2013, Automated analysis of clonal cancer cells by intravital imaging, IntraVital., 2, 1, 10.4161/intv.26138 · DOI
  165. Gligorijevic, 2014, Multiparametric classification links tumor microenvironments with tumor cell phenotype, PLoS Biol., 12, 1001995, 10.1371/journal.pbio.1001995 · DOI
  166. Falk, 2018, U-Net: deep learning for cell counting, detection, and morphometry, Nat. Methods, 161, 67
  167. Moen, 2019, Deep learning for cellular image analysis, Nat. Methods, 1612, 1233, 10.1038/s41592-019-0403-1 · DOI · Paper page
  168. Camacho, 2018, Next-generation machine learning for biological networks, Cell, 173, 1581, 10.1016/j.cell.2018.05.015 · DOI
  169. Hor, 2021, Intravital and high-content multiplex imaging of the immune system, Trends Cell Biol.

Cited by

Sorted by citations

See all 33

Metadata

Authors
Momoh, J., Kapsokalyvas, D., Vogt, M., Hak, S., Kiessling, F., van Zandvoort, M., Lammers, T., & Sofias, A. M.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2022-10
Volume
189
Pages
114528
ISSN
0169-409X
DOI
10.1016/j.addr.2022.114528
Cited by
33
References
10
Language
en
Licence
Funders
  • European Research Council (864121)
  • Deutsche Forschungsgemeinschaft
  • Bundesministerium für Bildung und Forschung (16GW0319K)
  • European Regional Development Fund (EFRE-0801767)
  • Deutsche Krebshilfe

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review