Bioimaging harnessing optical contrasts and chemical specificity is of vital importance in probing complex biology. Vibrational spectroscopy based on mid-infrared (mid-IR) excitation can reveal rich chemical information about molecular distributions. However, its full potential for bioimaging is hindered by the achievable sensitivity. Here, we report bond selective fluorescence-detected infrared-excited (BonFIRE) spectral microscopy. BonFIRE employs two-photon excitation in the mid-IR and near-IR to upconvert vibrational excitations to electronic states for fluorescence detection, thus encoding vibrational information into fluorescence. The system utilizes tuneable narrowband picosecond pulses to ensure high sensitivity, biocompatibility, and robustness for bond-selective biological interrogations over a wide spectrum of reporter molecules. We demonstrate BonFIRE spectral imaging in both fingerprint and cell-silent spectroscopic windows with single-molecule sensitivity for common fluorescent dyes. We then demonstrate BonFIRE imaging on various intracellular targets in fixed and live cells, neurons, and tissues, with promises for further vibrational multiplexing. For dynamic bioanalysis in living systems, we implement a high-frequency modulation scheme and demonstrate time-lapse BonFIRE microscopy of live HeLa cells. We expect BonFIRE to expand the bioimaging toolbox by providing a new level of bond-specific vibrational information and facilitate functional imaging and sensing for biological investigations.
Keyphrases
- single molecule
- living cells
- energy transfer
- quantum dots
- fluorescence imaging
- high resolution
- density functional theory
- high frequency
- molecular dynamics simulations
- induced apoptosis
- atomic force microscopy
- cell cycle arrest
- optical coherence tomography
- gene expression
- photodynamic therapy
- single cell
- fluorescent probe
- health information
- spinal cord
- big data
- signaling pathway
- cell therapy
- molecular dynamics
- dna methylation
- crispr cas
- cell proliferation
- magnetic resonance imaging
- magnetic resonance
- climate change
- raman spectroscopy
- pi k akt
- healthcare
- machine learning
- spinal cord injury
- social media
- genome wide
- artificial intelligence
- bone marrow
- high speed
- stem cells
- computed tomography
- mass spectrometry