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The PhasorPy Library for FLIM and HSI Phasor Analysis


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This webinar is hosted By: Tissue Imaging and Spectroscopy Technical Group

25 November 2024 11:00 - 12:00

Eastern Time (US & Canada) (UTC -05:00)
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The Tissue Imaging and Spectroscopy Technical Group invites you to join them for a webinar series focused on recent advancements and future directions in fluorescence lifetime imaging modality (FLIM), from instrumentation, through data analysis to clinical work. This week’s webinar will feature a talk from Leonel Malacrida from Institut Pasteur de Montevideo and the Universidad de la República.

Abstract:

In this talk, Dr. Leonel Malacrida will explore the fundamentals of the phasor approach, a powerful and model-free approach for analyzing data from Fluorescence Lifetime Imaging Microscopy (FLIM) and Hyperspectral Imaging (HSI). The phasor approach simplifies the visualization and interpretation of complex multi-dimensional data by transforming it into a phasor plot, which facilitates distinguishing between different molecular species, environments, or dynamic processes. Its intuitive characteristic enables easy adoption. Dr. Malacrida will introduce the latest advancements in the PhasorPy library, an open-source tool that supports comprehensive phasor analysis. The recent developments extend its applicability across various imaging modalities, providing researchers with a flexible and robust platform to analyze FLIM, HSI, and other types of imaging data. Additionally, Dr. Malacrida will present several key applications of the phasor approach, demonstrating its versatility in solving biological questions, such as identifying unique autofluorescence molecular signatures or monitoring dynamic processes. These examples will highlight how the phasor method can drive scientific discovery in bioimaging research.

What You Will Learn:

  • Fundamentals of phasor approach for FLIM and HSI
  • The last developments on the PhasorPy library are for all phasor analysis
  • Some application of phasor approach for FLIM and HSI data

Who Should Attend:

This webinar is ideal for students, researchers, and clinicians involved in cancer diagnostics, treatment planning, and personalized medicine, with interest in advanced imaging techniques for assessing tissue and disease.

Subject Matter Level:

Intermediate - Assumes basic knowledge of the topic

About Our Speakers

Leonel Malacrida
Leonel Malacrida

Institut Pasteur de Montevideo; Universidad de la República

Dr. Malacrida graduated with a BSc in Biochemistry in 2009 and with a PhD in Biology in 2014 at the University of the Republic, Uruguay. He pursued his postdoctoral work in the Laboratory for Fluorescence Dynamics, University of California at Irvine, USA (2015-2019), where he developed spectroscopy tools using lifetime and hyperspectral imaging for addressing biology quantitatively. Dr. Malacrida is interested in developing methods to image cells hidden in deep layers of tissues not accessible to regular microscopes. As an Associate Professor in the School of Medicine at the Universidad de la República of Uruguay, he recently established the Advanced Bioimaging Unit, a world-class core facility for developing novel instrumentation and providing services and training to researchers throughout Uruguay and the region. He is part of the “Imaging Scientist” program at the Chan-Zuckerberg Initiative and a founder and Executive Committee Member of Latin America Bioimaging.

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