Fluorescence Lifetime Multiplexing (FLEX) for simultaneous high dimensional spatial biology in 3D
Communications Biology, ISSN: 2399-3642, Vol: 7, Issue: 1, Page: 1012
2024
- 6Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures6
- Readers6
- Mentions1
- News Mentions1
- News1
Most Recent News
New Biomarkers Study Findings Reported from Massachusetts General Hospital [Fluorescence Lifetime Multiplexing (FLEX) for simultaneous high dimensional spatial biology in 3D]
2024 AUG 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Daily -- New study results on biomarkers have been published.
Article Description
Immunohistochemistry is a crucial method for detecting specific proteins within tissue samples, yet constrained to one biomarker per tissue section. Multiplexed immunofluorescence, while allowing simultaneous visualization of multiple proteins, faces limitations in the number of simultaneous fluorescent labels due to spectral overlap. Although cyclic immunofluorescence techniques have successfully broadened antibody staining capacities in a single tissue sample, they are plagued by time-consuming and labor-intensive procedures, sample degradation risks, and inability to scale beyond thin sections. In this study, we introduce the use of 3D confocal Fluorescence Lifetime Imaging Microscopy as a high-throughput, multiplexed immunofluorescence platform that can differentiate 11 or more biomarkers in 3D tissue volumes. Leveraging both spectral and lifetime information, this approach allows for practical spatial biology in thin sections that can readily scale to larger volumes of tissue. We believe that this highly multiplexed and versatile biomarker imaging platform will significantly expedite cancer research and enable new translational approaches in the future.
Bibliographic Details
Springer Science and Business Media LLC
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