 Connection
Ekaterina Galanzha to Flow Cytometry
This is a "connection" page, showing publications Ekaterina Galanzha has written about Flow Cytometry.
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Connection Strength |
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5.166 |
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Nedosekin DA, Verkhusha VV, Melerzanov AV, Zharov VP, Galanzha EI. In vivo photoswitchable flow cytometry for direct tracking of single circulating tumor cells. Chem Biol. 2014 Jun 19; 21(6):792-801.
Score: 0.389
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Galanzha EI, Nedosekin DA, Sarimollaoglu M, Orza AI, Biris AS, Verkhusha VV, Zharov VP. Photoacoustic and photothermal cytometry using photoswitchable proteins and nanoparticles with ultrasharp resonances. J Biophotonics. 2015 Jan; 8(1-2):81-93.
Score: 0.376
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Nedosekin DA, Juratli MA, Sarimollaoglu M, Moore CL, Rusch NJ, Smeltzer MS, Zharov VP, Galanzha EI. Photoacoustic and photothermal detection of circulating tumor cells, bacteria and nanoparticles in cerebrospinal fluid in vivo and ex vivo. J Biophotonics. 2013 Jun; 6(6-7):523-33.
Score: 0.363
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Galanzha EI, Zharov VP. Photoacoustic flow cytometry. Methods. 2012 Jul; 57(3):280-96.
Score: 0.342
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Galanzha EI, Zharov VP. In vivo photoacoustic and photothermal cytometry for monitoring multiple blood rheology parameters. Cytometry A. 2011 Oct; 79(10):746-57.
Score: 0.323
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Galanzha EI, Sarimollaoglu M, Nedosekin DA, Keyrouz SG, Mehta JL, Zharov VP. In vivo flow cytometry of circulating clots using negative photothermal and photoacoustic contrasts. Cytometry A. 2011 Oct; 79(10):814-24.
Score: 0.322
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Galanzha EI, Kim JW, Zharov VP. Nanotechnology-based molecular photoacoustic and photothermal flow cytometry platform for in-vivo detection and killing of circulating cancer stem cells. J Biophotonics. 2009 Dec; 2(12):725-35.
Score: 0.286
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Galanzha EI, Shashkov EV, Spring PM, Suen JY, Zharov VP. In vivo, noninvasive, label-free detection and eradication of circulating metastatic melanoma cells using two-color photoacoustic flow cytometry with a diode laser. Cancer Res. 2009 Oct 15; 69(20):7926-34.
Score: 0.283
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Galanzha EI, Tuchin VV, Zharov VP. Advances in small animal mesentery models for in vivo flow cytometry, dynamic microscopy, and drug screening. World J Gastroenterol. 2007 Jan 14; 13(2):192-218.
Score: 0.234
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Galanzha EI, Tuchin VV, Zharov VP. In vivo integrated flow image cytometry and lymph/blood vessels dynamic microscopy. J Biomed Opt. 2005 Sep-Oct; 10(5):054018.
Score: 0.213
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Yadem AC, Armstrong JN, Sarimollaoglu M, Kiki Massa C, Ndifo JM, Menyaev YA, Mbe A, Richards K, Wade M, Zeng Y, Chen R, Zhou Q, Meten E, Ntone R, Tchuedji YLGN, Ullah S, Galanzha EI, Eteki L, Gonsu HK, Biris A, Suen JY, Boum Y, Zharov VP, Parikh S. Noninvasive in vivo photoacoustic detection of malaria with Cytophone in Cameroon. Nat Commun. 2024 Oct 25; 15(1):9228.
Score: 0.201
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Sindeeva OA, Verkhovskii RA, Sarimollaoglu M, Afanaseva GA, Fedonnikov AS, Osintsev EY, Kurochkina EN, Gorin DA, Deyev SM, Zharov VP, Galanzha EI. New Frontiers in Diagnosis and Therapy of Circulating Tumor Markers in Cerebrospinal Fluid In Vitro and In Vivo. Cells. 2019 10 02; 8(10).
Score: 0.141
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Galanzha EI, Menyaev YA, Yadem AC, Sarimollaoglu M, Juratli MA, Nedosekin DA, Foster SR, Jamshidi-Parsian A, Siegel ER, Makhoul I, Hutchins LF, Suen JY, Zharov VP. In vivo liquid biopsy using Cytophone platform for photoacoustic detection of circulating tumor cells in patients with melanoma. Sci Transl Med. 2019 06 12; 11(496).
Score: 0.138
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Nolan J, Nedosekin DA, Galanzha EI, Zharov VP. Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry. Cytometry A. 2019 06; 95(6):664-671.
Score: 0.133
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Nolan J, Sarimollaoglu M, Nedosekin DA, Jamshidi-Parsian A, Galanzha EI, Kore RA, Griffin RJ, Zharov VP. In Vivo Flow Cytometry of Circulating Tumor-Associated Exosomes. Anal Cell Pathol (Amst). 2016; 2016:1628057.
Score: 0.116
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Juratli MA, Menyaev YA, Sarimollaoglu M, Siegel ER, Nedosekin DA, Suen JY, Melerzanov AV, Juratli TA, Galanzha EI, Zharov VP. Real-Time Label-Free Embolus Detection Using In Vivo Photoacoustic Flow Cytometry. PLoS One. 2016; 11(5):e0156269.
Score: 0.112
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Cai C, Carey KA, Nedosekin DA, Menyaev YA, Sarimollaoglu M, Galanzha EI, Stumhofer JS, Zharov VP. In vivo photoacoustic flow cytometry for early malaria diagnosis. Cytometry A. 2016 06; 89(6):531-42.
Score: 0.111
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Galanzha EI, Viegas MG, Malinsky TI, Melerzanov AV, Juratli MA, Sarimollaoglu M, Nedosekin DA, Zharov VP. In vivo acoustic and photoacoustic focusing of circulating cells. Sci Rep. 2016 Mar 16; 6:21531.
Score: 0.111
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Juratli MA, Sarimollaoglu M, Siegel ER, Nedosekin DA, Galanzha EI, Suen JY, Zharov VP. Real-time monitoring of circulating tumor cell release during tumor manipulation using in vivo photoacoustic and fluorescent flow cytometry. Head Neck. 2014 Aug; 36(8):1207-15.
Score: 0.094
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Nedosekin DA, Sarimollaoglu M, Galanzha EI, Sawant R, Torchilin VP, Verkhusha VV, Ma J, Frank MH, Biris AS, Zharov VP. Synergy of photoacoustic and fluorescence flow cytometry of circulating cells with negative and positive contrasts. J Biophotonics. 2013 May; 6(5):425-34.
Score: 0.086
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Proskurnin MA, Zhidkova TV, Volkov DS, Sarimollaoglu M, Galanzha EI, Mock D, Nedosekin DA, Zharov VP. In vivo multispectral photoacoustic and photothermal flow cytometry with multicolor dyes: a potential for real-time assessment of circulation, dye-cell interaction, and blood volume. Cytometry A. 2011 Oct; 79(10):834-47.
Score: 0.081
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Nedosekin DA, Khodakovskaya MV, Biris AS, Wang D, Xu Y, Villagarcia H, Galanzha EI, Zharov VP. In vivo plant flow cytometry: a first proof-of-concept. Cytometry A. 2011 Oct; 79(10):855-65.
Score: 0.081
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Nedosekin DA, Sarimollaoglu M, Ye JH, Galanzha EI, Zharov VP. In vivo ultra-fast photoacoustic flow cytometry of circulating human melanoma cells using near-infrared high-pulse rate lasers. Cytometry A. 2011 Oct; 79(10):825-33.
Score: 0.080
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Nedosekin DA, Sarimollaoglu M, Shashkov EV, Galanzha EI, Zharov VP. Ultra-fast photoacoustic flow cytometry with a 0.5 MHz pulse repetition rate nanosecond laser. Opt Express. 2010 Apr 12; 18(8):8605-20.
Score: 0.073
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Galanzha EI, Kokoska MS, Shashkov EV, Kim JW, Tuchin VV, Zharov VP. In vivo fiber-based multicolor photoacoustic detection and photothermal purging of metastasis in sentinel lymph nodes targeted by nanoparticles. J Biophotonics. 2009 Sep; 2(8-9):528-39.
Score: 0.070
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Biris AS, Galanzha EI, Li Z, Mahmood M, Xu Y, Zharov VP. In vivo Raman flow cytometry for real-time detection of carbon nanotube kinetics in lymph, blood, and tissues. J Biomed Opt. 2009 Mar-Apr; 14(2):021006.
Score: 0.068
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Zharov VP, Galanzha EI, Shashkov EV, Kim JW, Khlebtsov NG, Tuchin VV. Photoacoustic flow cytometry: principle and application for real-time detection of circulating single nanoparticles, pathogens, and contrast dyes in vivo. J Biomed Opt. 2007 Sep-Oct; 12(5):051503.
Score: 0.061
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Zharov VP, Galanzha EI, Tuchin VV. Photothermal flow cytometry in vitro for detection and imaging of individual moving cells. Cytometry A. 2007 Apr; 71(4):191-206.
Score: 0.059
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Zharov VP, Galanzha EI, Tuchin VV. In vivo photothermal flow cytometry: imaging and detection of individual cells in blood and lymph flow. J Cell Biochem. 2006 Apr 01; 97(5):916-32.
Score: 0.055
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Zharov VP, Galanzha EI, Tuchin VV. Integrated photothermal flow cytometry in vivo. J Biomed Opt. 2005 Sep-Oct; 10(5):051502.
Score: 0.053
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Zharov VP, Galanzha EI, Tuchin VV. Photothermal image flow cytometry in vivo. Opt Lett. 2005 Mar 15; 30(6):628-30.
Score: 0.052
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Juratli MA, Siegel ER, Nedosekin DA, Sarimollaoglu M, Jamshidi-Parsian A, Cai C, Menyaev YA, Suen JY, Galanzha EI, Zharov VP. In Vivo Long-Term Monitoring of Circulating Tumor Cells Fluctuation during Medical Interventions. PLoS One. 2015; 10(9):e0137613.
Score: 0.027
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Mahmood M, Karmakar A, Fejleh A, Mocan T, Iancu C, Mocan L, Iancu DT, Xu Y, Dervishi E, Li Z, Biris AR, Agarwal R, Ali N, Galanzha EI, Biris AS, Zharov VP. Synergistic enhancement of cancer therapy using a combination of carbon nanotubes and anti-tumor drug. Nanomedicine (Lond). 2009 Dec; 4(8):883-93.
Score: 0.018
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Zharov VP, Galanzha EI, Shashkov EV, Khlebtsov NG, Tuchin VV. In vivo photoacoustic flow cytometry for monitoring of circulating single cancer cells and contrast agents. Opt Lett. 2006 Dec 15; 31(24):3623-5.
Score: 0.015
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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