Dec 01, 2025

Public workspaceTDA-MIT: Raman imaging protocol

  • Jeon Woong Kang1,
  • Ke Zhang2,3
  • 1Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA;
  • 2Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;
  • 3Broad Institute of MIT and Harvard, Boston, MA, USA
  • Cellular Senescence Network (SenNet) Method Development Community
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Protocol CitationJeon Woong Kang, Ke Zhang 2025. TDA-MIT: Raman imaging protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.14egnrddql5d/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: November 30, 2025
Last Modified: December 01, 2025
Protocol Integer ID: 233803
Keywords: raman imaging protocol, raman imaging workflow, raman imaging protocol this protocol, free hyperspectral raman acquisition, vibrational signatures of lipid, profiling biochemical composition, biochemical composition in intact tissue section, other biomolecule, lipid
Abstract
This protocol describes a Raman imaging workflow for spatially profiling biochemical composition in intact tissue sections, using label-free hyperspectral Raman acquisition to capture vibrational signatures of lipids, proteins, and other biomolecules.
Troubleshooting
Safety warnings
This protocol requires prior approval by the users' Institutional Animal Care and Use Committee (IACUC) or equivalent ethics committee.
Sample preparation
A quartz-bottom culture dish was coated with a poly-D-lysine solution. OCT-embedded mouse lung and skin tissues were sectioned into 14 μm slices, then fixed with 4% PFA in PBS for 15 minutes, followed by three washes with PBSR (PBS + RNase Inhibitor). 
Raman microscopy parameters
A custom built NIR confocal Raman microscopy system was used for Raman data acquisition. The system was equipped with 785 nm wavelength Ti: Sapphire laser (3900S, Spectra Physics) and beam was filtered by a laser line filter (BPF, LL01 785 12.5, Semrock) and redirected to the dual axes galvanometer mirrors. High-speed XY scanning was performed by the galvanometer mirrors (CT 6210, Cambridge Technology) and large area scanning was performed by XY motorized stage (MS-2000, ASI Imaging). A 0.95 NA objective lens (Olympus UPLSAPO40X2 40X/0.95) was used to both focus the laser light onto the sample and to collect the back scattered light. A piezo actuator combined with a differential micrometer (DRV517, Thorlabs) was used to perform the coarse and fine adjustments, respectively, of the sample focus. A flip mirror was placed after the tube lens so that the sample focal plane from the incoherent transmission source can be observed using a video camera with 44 X magnification. The backscattered Raman light from the sample passes through two dichroic mirrors (DM1: Semrock LPD01 785RU 25, DM2: Semrock LPD01 785RU 25×36×1.1) and was collected by a multi-mode fiber (Thorlabs M14L 01). The collected signal was delivered to the imaging spectrograph (Holospec f/1.8i, Kaiser Optical Systems) and detected by a thermoelectric cooled, back illuminated and deep depleted CCD (PIXIS: 100BR_eXcelon, Princeton Instruments). Data acquisition board (PCI 6251, National Instruments) and MATLAB 2022 software (Mathworks) were used to control the system, acquire the data, and analyze the data. Further details on how the confocal Raman measurements were performed are described previously1.
Raman imaging
Tissue slices from mouse lung and skin are placed on top of quartz coverslips in the Petri dish with quartz coverslip bottom (SF-S-D12, WakenBtech). The dish is filled with 2mL of PBSR and wrapped by parafilm. . The optical resolution limit of the system is 0.4um, and we used a sampling pixel size of 3um, this corresponds to an effective sampling-limited resolution of approximately 6 µm2. Raman field of view is guided by bright field imaging. For each sample, we selected a field of view in the range of approximately 750–1000 µm × 750–1000 µm, resulting in roughly 250–333 × 250–333 spectral measurements (with 3um pixel size). 
Protocol references
1. Kang, J. W. et al. Investigating effects of proteasome inhibitor on multiple myeloma cells using confocal Raman microscopy. Sensors (Basel) 16, (2016).
2. Shannon, C. E. Communication in the presence of noise. Proc. IRE 37, 10–21 (1949).