[论文解读] Towards accurate predictions of bond-selective fluorescence spectra

Philip A. Kocheril, Ryan Leighton+5 more|arXiv (Cornell University)|Jan 17, 2026

Advanced Fluorescence Microscopy Techniques被引用 1

一句话总结

论文提出一个完全自动化的计算流程来预测 BonFIRE 光谱，再现实验分子键选择性荧光结果的关键特征，并概述在化学和生物学中的应用。

ABSTRACT

Vibrational-encoded fluorescence spectro-microscopies are emerging as powerful tools for studying molecular vibrations with the unparalleled sensitivity of fluorescence spectroscopy. We recently described one such technique, termed bond-selective fluorescence-detected infrared-excited (BonFIRE) spectro-microscopy. Currently, prospects of BonFIRE towards rational molecular design are limited, but they have the potential to be assisted by computational tools. In this Perspective, we provide a brief overview of the theory of BonFIRE spectroscopy. We then describe a fully automated computational pipeline for calculating BonFIRE spectra, reproducing key features of experimental results. Finally, we highlight a few potential applications of computational methods for vibrational-encoded fluorescence spectro-microscopies and their broader implications for chemistry and biology.

研究动机与目标

• Motivate and overview BonFIRE vibrational-encoded fluorescence spectro-microscopy.
• Describe a fully automated computational workflow to predict BonFIRE spectra.
• Demonstrate that the pipeline reproduces key experimental features.
• Discuss potential applications of computational BonFIRE methods in chemistry and biology.

提出的方法

• Present a theory overview of BonFIRE spectroscopy.
• Describe the automated computational pipeline for BonFIRE spectrum predictions.
• Show how the pipeline reproduces key experimental features.
• Highlight potential applications and implications for chemistry and biology.

实验结果

研究问题

• RQ1 Can a fully automated computational workflow accurately predict BonFIRE spectra?
• RQ2 What experimental features of BonFIRE spectra are reproducible with the computational approach?
• RQ3 What are the potential applications of computational BonFIRE methods in chemistry and biology?

主要发现

• The authors describe a fully automated pipeline for calculating BonFIRE spectra.
• The pipeline reproduces key features observed in experimental BonFIRE results.
• The perspective highlights potential applications of computational methods for vibrational-encoded fluorescence spectro-microscopies.
• The work discusses broader implications for chemistry and biology.