Literature DB >> 33929445

Time-domain single photon-excited autofluorescence lifetime for label-free detection of T cell activation.

Kayvan Samimi, Emmanuel Contreras Guzman, Steven M Trier, Dan L Pham, Tongcheng Qian, Melissa C Skala.   

Abstract

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique, capable of label-free assessment of the metabolic state and function within single cells. The FLIM measurements of autofluorescence were recently shown to be sensitive to the functional state and subtype of T cells. Therefore, autofluorescence FLIM could improve cell manufacturing technologies for adoptive immunotherapy, which currently require a time-intensive process of cell labeling with fluorescent antibodies. However, current autofluorescence FLIM implementations are typically too slow, bulky, and prohibitively expensive for use in cell manufacturing pipelines. Here we report a single photon-excited confocal whole-cell autofluorescence system that uses fast field-programmable gate array-based time tagging electronics to achieve time-correlated single photon counting (TCSPC) of single-cell autofluorescence. The system includes simultaneous near-infrared bright-field imaging and is sensitive to variations in the fluorescence decay profile of the metabolic coenzyme NAD(P)H in human T cells due to the activation state. The classification of activated and quiescent T cells achieved high accuracy and precision (area under the receiver operating characteristic curve, AUC = 0.92). The lower-cost, higher acquisition speed, and resistance to pile-up effects at high photon flux compared to traditional multiphoton-excited FLIM and TCSPC implementations with similar SNR make this system attractive for integration into flow cytometry, sorting, and quality control in cell manufacturing.

Entities:  

Year:  2021        PMID: 33929445      PMCID: PMC8109150          DOI: 10.1364/OL.422445

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  9 in total

1.  The phasor approach to fluorescence lifetime imaging analysis.

Authors:  Michelle A Digman; Valeria R Caiolfa; Moreno Zamai; Enrico Gratton
Journal:  Biophys J       Date:  2007-11-02       Impact factor: 4.033

Review 2.  Adoptive immunotherapy for cancer: harnessing the T cell response.

Authors:  Nicholas P Restifo; Mark E Dudley; Steven A Rosenberg
Journal:  Nat Rev Immunol       Date:  2012-03-22       Impact factor: 53.106

3.  High-speed imaging of transient metabolic dynamics using two-photon fluorescence lifetime imaging microscopy.

Authors:  Andrew J Bower; Joanne Li; Eric J Chaney; Marina Marjanovic; Darold R Spillman; Stephen A Boppart
Journal:  Optica       Date:  2018-10-16       Impact factor: 11.104

4.  Time-domain microfluidic fluorescence lifetime flow cytometry for high-throughput Förster resonance energy transfer screening.

Authors:  Jakub Nedbal; Viput Visitkul; Elena Ortiz-Zapater; Gregory Weitsman; Prabhjoat Chana; Daniel R Matthews; Tony Ng; Simon M Ameer-Beg
Journal:  Cytometry A       Date:  2014-12-18       Impact factor: 4.355

5.  Testing fluorescence lifetime standards using two-photon excitation and time-domain instrumentation: rhodamine B, coumarin 6 and lucifer yellow.

Authors:  Arne S Kristoffersen; Svein R Erga; Børge Hamre; Øyvind Frette
Journal:  J Fluoresc       Date:  2014-05-28       Impact factor: 2.217

6.  Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications.

Authors:  Rupsa Datta; Tiffany M Heaster; Joe T Sharick; Amani A Gillette; Melissa C Skala
Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

7.  Classification of T-cell activation via autofluorescence lifetime imaging.

Authors:  Alex J Walsh; Katherine P Mueller; Kelsey Tweed; Isabel Jones; Christine M Walsh; Nicole J Piscopo; Natalie M Niemi; David J Pagliarini; Krishanu Saha; Melissa C Skala
Journal:  Nat Biomed Eng       Date:  2020-07-27       Impact factor: 25.671

8.  Real-time fluorescence lifetime actuation for cell sorting using a CMOS SPAD silicon photomultiplier.

Authors:  Francescopaolo Mattioli Della Rocca; Jakub Nedbal; David Tyndall; Nikola Krstajić; David Day-Uei Li; Simon M Ameer-Beg; Robert K Henderson
Journal:  Opt Lett       Date:  2016-02-15       Impact factor: 3.776

9.  Fluorescence lifetime shifts of NAD(P)H during apoptosis measured by time-resolved flow cytometry.

Authors:  Faisal Alturkistany; Kapil Nichani; Kevin D Houston; Jessica P Houston
Journal:  Cytometry A       Date:  2018-10-19       Impact factor: 4.355

  9 in total
  1 in total

1.  Ex vivo hypercellular parathyroid gland differentiation using dynamic optical contrast imaging (DOCI).

Authors:  Shan Huang; Yazeed Alhiyari; Yong Hu; Kenric Tam; Albert Y Han; Jeffrey F Krane; Ramesh Shori; Maie A St John; Oscar Stafsudd
Journal:  Biomed Opt Express       Date:  2022-01-04       Impact factor: 3.732

  1 in total

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