ArticleBiophysical reports2023
Phasor identifier: A cloud-based analysis of phasor-FLIM data on Python notebooks.
Article in Biophysical reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Emerging trends of fluorescence lifetime imaging microscopy (FLIM): advances, challenges, and prospects.Biophysics reports · 2026Article
- A fluorescence lifetime separation approach for FLIM live-cell imaging.Journal of microscopy · 2026Article
- Illuminating the Invisible: Fluorescent Probes as Emerging Tools for Micro/Nanoplastic Identification.International journal of molecular sciences · 2025Review
- Functional recovery of islet β cells in human type 2 diabetes: Transcriptome signatures unveil therapeutic approaches.Science advances · 2025Article
- FLIMPA: A Versatile Software for Fluorescence Lifetime Imaging Microscopy Phasor Analysis.Analytical chemistry · 2025Article
- GSLab: open-source platform for advanced phasor analysis in fluorescence microscopy.Bioinformatics (Oxford, England) · 2025Article
- Measuring pH in insulin secretory granules by phasor-based fluorescence lifetime imaging of a genetically encoded sensor.Communications biology · 2025Article
- GSLab: Open-Source Platform for Advanced Phasor Analysis in Fluorescence Microscopy.bioRxiv : the preprint server for biology · 2025Article
- Pioglitazone Phases and Metabolic Effects in Nanoparticle-Treated Cells Analyzed via Rapid Visualization of FLIM Images.Molecules (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper introduces an innovative approach utilizing Google Colaboratory for the versatile analysis of phasor fluorescence lifetime imaging microscopy (FLIM) data collected from various samples (e.g., cuvette, cells, tissues) and in various input file formats. In fact, phasor-FLIM widespread adoption has been hampered by complex instrumentation and data analysis requirements. We mean to make advanced FLIM analysis more accessible to researchers through a cloud-based solution that 1) harnesses robust computational resources, 2) eliminates hardware limitations, and 3) supports both CPU and GPU processing. We envision a paradigm shift in FLIM data accessibility and potential, aligning with the evolving field of artificial intelligence-driven FLIM analysis. This approach simplifies FLIM data handling and opens doors for diverse applications, from studying cellular metabolism to investigating drug encapsulation, benefiting researchers across multiple domains. The comparative analysis of freely distributed FLIM tools highlights the unique advantages of this approach in terms of adaptability, scalability, and open-source nature.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.