Abstract
Label-free optical imaging employs natural and non-destructive approaches to visualize biomedical samples for both biological assays and clinical diagnosis. At present, this field revolves around multiple technology-oriented communities, each with a specific focus on a particular modality, despite the existence of shared challenges and applications. As a result, biologists or clinical researchers who require label-free imaging are often not aware of the most appropriate modality to use. This Review presents a comprehensive overview of, and comparison among, different label-free imaging modalities and discusses common challenges and applications. We expect this Review to facilitate collaborative interactions between imaging communities, push the field forwards and foster technological advancements and biophysical discoveries, as well as facilitate new avenues in clinical detection, diagnosis and monitoring of diseases.
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References
Zernike, F. How I discovered phase contrast. Science 121, 345–349 (1955).
Lang, W. Nomarski differential interference-contrast microscopy. Zeiss Inf. 70, 114–120 (1968).
Marquet, P. et al. Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. Opt. Lett. 30, 468–470 (2005).
Girshovitz, P. & Shaked, N. T. Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization. Biomed. Opt. Express 3, 1757–1773 (2012).
Park, Y. K., Depeursinge, C. & Popescu, G. Quantitative phase imaging in biomedicine. Nat. Photon. 12, 578–589 (2018).
Haifler, M. et al. Interferometric phase microscopy for label-free morphological evaluation of sperm cells. Fertil. Steril. 104, 43–47 (2015).
Choi, W. et al. Tomographic phase microscopy. Nat. Methods 4, 717–719 (2007).
Jin, D., Zhou, R., Yaqoob, Z. & So, P. T. C. Tomographic phase microscopy: principles and applications in bioimaging. J. Opt. Soc. Am. B 34, B64–B77 (2017).
Dardikman-Yoffe, G., Mirsky, S. K., Barnea, I. & Shaked, N. T. High-resolution 4-D acquisition of freely swimming human sperm cells without staining. Sci. Adv. 6, eaay7619 (2020).
Oldenbourg, R. Imaging: A Laboratory Manual (ed. Yuste, R.) (CSHL, 2011).
Oldenbourg, R. Polarized light microscopy of spindles. Methods Cell. Biol. 61, 175–208 (1998).
Koike-Tani, M., Tani, T., Mehta, S. B., Verma, A. & Oldenbourg, R. Polarized light microscopy in reproductive and developmental biology. Mol. Reprod. Dev. 82, 548–562 (2013).
Drexler, W. & Fujimoto J. G. Optical Coherence Tomography: Technology and Applications (Springer, 2008).
Leitgeb, R., Hitzenberger, C. K. & Fercher, A. F. Performance of Fourier domain vs. time domain optical coherence tomography. Opt. Express 11, 889–894 (2003).
Hillmann, D. et al. Aberration-free volumetric high-speed imaging of in vivo retina. Sci. Rep. 6, 35209 (2016).
Duker, J. S., Waheed, N. K. & Goldman, D. Handbook of Retinal OCT: Optical Coherence Tomography (Elsevier, 2013).
Shemonski, N. D. et al. Computational high-resolution optical imaging of the living human retina. Nat. Photon. 9, 440–443 (2015).
Tearney, G. J. et al. Three-dimensional coronary artery microscopy by intracoronary optical frequency domain imaging. JACC Cardiovasc. Imag. 1, 752–761 (2008).
Raffel, O. C., Akasaka, T. & Jang, I.-K. Cardiac optical coherence tomography. Heart 94, 1200–1210 (2008).
Tearney, G. J. et al. In vivo endoscopic optical biopsy with optical coherence tomography. Science 276, 2037–2039 (1997).
Nolan, R. M. et al. Intraoperative optical coherence tomography for assessing human lymph nodes for metastatic cancer. BMC Cancer 16, 144 (2016).
Erickson-Bhatt, S. J. et al. Real-time imaging of the resection bed using a handheld probe to reduce incidence of microscopic positive margins in cancer surgery. Cancer Res. 75, 3706–3712 (2015).
Poneros, J. M. & Nishioka, N. S. Diagnosis of Barrett’s esophagus using optical coherence tomography. Gastrointest. Endosc. Clin. N. Am. 13, 309–323 (2013).
Dong, J. et al. Feasibility and safety of tethered capsule endomicroscopy in patients with Barrett’s esophagus in a multi-center study. Clin. Gastroenterol. Hepatol. 20, 756–765 (2022).
Sattler, E., Kästle, R. & Welzel, J. Optical coherence tomography in dermatology. J. Biomed. Opt. 18, 061224 (2013).
Gambichler, T. et al. Applications of optical coherence tomography in dermatology. J. Dermatol. Sci. 40, 85–94 (2005).
Byers, R. A. et al. Sub-clinical assessment of atopic dermatitis severity using angiographic optical coherence tomography. Biomed. Opt. Express 9, 2001–2017 (2018).
Larina, I. V. et al. Live imaging of blood flow in mammalian embryos using Doppler swept-source optical coherence tomography. J. Biomed. Opt. 13, 060506 (2008).
Singh, M. et al. Applicability, usability, and limitations of murine embryonic imaging with optical coherence tomography and optical projection tomography. Biomed. Opt. Express 7, 2295–2310 (2016).
Park, S. et al. Quantitative evaluation of the dynamic activity of HeLa cells in different viability states using dynamic full-field optical coherence microscopy. Biomed. Opt. Express 12, 6431–6441 (2021).
Mecê, P., Scholler, J., Groux, K. & Boccara, C. High-resolution in-vivo human retinal imaging using full-field OCT with optical stabilization of axial motion. Biomed. Opt. Express 11, 492–504 (2020).
Ralston, T. S., Marks, D. L., Carney, P. S. & Boppart, S. A. Interferometric synthetic aperture microscopy. Nat. Phys. 3, 129–134 (2007).
Mohler, W., Millard, A. C. & Campagnola, P. J. Second harmonic generation imaging of endogenous structural proteins. Methods 29, 97–109 (2003).
Conklin, M. W. et al. Aligned collagen is a prognostic signature for survival in human breast carcinoma. Am. J. Pathol. 178, 1221–1232 (2011).
Quinn, K. P. et al. Optical metrics of the extracellular matrix predict compositional and mechanical changes after myocardial infarction. Sci. Rep. 6, 35823 (2016).
Chu, S.-W., Tai, S.-P., Ho, C.-L., Lin, C.-H. & Sun, C.-K. High-resolution simultaneous three-photon fluorescence and third-harmonic-generation microscopy. Microsc. Res. Techn. 66, 193–197 (2005).
Tsai, M.-R., Chen, S.-Y., Shieh, D.-B., Lou, P.-J. & Sun, C.-K. In vivo optical virtual biopsy of human oral mucosa with harmonic generation microscopy. Biomed. Opt. Express 2, 2317–2328 (2011).
Walsh, A. J. et al. Classification of T-cell activation via autofluorescence lifetime imaging. Nat. Biomed. Eng. 5, 77–88 (2020).
You, S. et al. Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy. Nat. Commun. 9, 2125 (2018).
Skala, M. C. et al. In vivo multiphoton microscopy of NADH and FAD redox states, fluorescence lifetimes, and cellular morphology in precancerous epithelia. Proc. Natl Acad. Sci. USA 104, 19494–19499 (2007).
Liu, Z., Meng, J., Quinn, K. P. & Georgakoudi, I. Tissue imaging and quantification relying on endogenous contrast. Adv. Exp. Med. Biol. 3233, 257–288 (2021).
Becker, W., Bergmann, A. & Biskup, C. Multispectral fluorescence lifetime imaging by TCSPC. Microsc. Res. Techn. 70, 403–409 (2007).
Sorrells, J. E. et al. Computational photon counting using multi-threshold peak detection for fast fluorescence lifetime imaging microscopy. ACS Photon. 9, 2748–2755 (2022).
Bower, A. J. et al. Label-free in vivo cellular-level detection and imaging of apoptosis. J. Biophoton. 10, 143–150 (2017).
Li, Q. et al. Review of spectral imaging technology in biomedical engineering: achievements and challenges. J. Biomed. Optics 18, 100901 (2013).
Kole, M. R., Reddy, R. K., Schulmerich, M. V., Gelber, M. K. & Bhargava, R. Discrete frequency infrared microspectroscopy and imaging with a tunable quantum cascade laser. Anal. Chem. 84, 10366–10372 (2012).
Pilling, M. J., Henderson, A. & Gardner, P. Quantum cascade laser spectral histopathology: breast cancer diagnostics using high throughput chemical imaging. Anal. Chem. 89, 7348–7355 (2017).
Kuepper, C. et al. Quantum cascade laser-based infrared microscopy for label-free and automated cancer classification in tissue sections. Sci. Rep. 8, 7717 (2018).
Zhang, D. et al. Depth-resolved mid-infrared photothermal imaging of living cells and organisms with submicrometer spatial resolution. Sci. Adv. 2, e1600521 (2016).
Nedosekin, D. A., Galanzha, E. I., Dervishi, E., Biris, A. S. & Zharov, V. P. Super-resolution nonlinear photothermal microscopy. Small 10, 135–142 (2014).
Brauchle, E. & Schenke-Layland, K. Raman spectroscopy in biomedicine – non-invasive in vitro analysis of cells and extracellular matrix components in tissues. Biotechnol. J. 8, 288–297 (2013).
Krafft, C. et al. Label-free molecular imaging of biological cells and tissues by linear and nonlinear Raman spectroscopic approaches. Angew. Chem. Int. Ed. 56, 4392–4431 (2017).
Lee, K. S. et al. Raman microspectroscopy for microbiology. Nat. Rev. Methods Primers 1, 80 (2021).
Matanfack, G. A., Rüger, J., Stiebing, C., Schmitt, M. & Popp, J. Imaging the invisible—bioorthogonal Raman probes for imaging of cells and tissues. J. Biophoton. 13, e202000129 (2020).
Zumbusch, A., Holtom, G. R. & Xie, X. S. Three-dimensional vibrational imaging by coherent anti-Stokes Raman scattering. Phys. Rev. Lett. 82, 4142–4145 (1999).
Tu, H. et al. Concurrence of extracellular vesicle enrichment and metabolic switch visualized label-free in the tumor microenvironment. Sci. Adv. 3, e1600675 (2017).
Liu, Y. et al. Label-free molecular profiling for identification of biomarkers in carcinogenesis using multimodal multiphoton imaging. Quant. Imag. Med. Surg. 9, 742–756 (2019).
Freudiger, C. W. et al. Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy. Science 322, 1857–1861 (2008).
Cheng, J.-X., Min, W., Ozeki, Y. & Polli, D. Stimulated Raman Scattering Microscopy: Techniques and Applications (Elsevier, 2022).
Wang, L. V. & Hu, S. Photoacoustic tomography: in vivo imaging from organelles to organs. Science 335, 1458–1462 (2012).
Wang, X. D. et al. Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain. Nat. Biotechnol. 21, 803–806 (2003).
Siphanto, R. I. et al. Serial noninvasive photoacoustic imaging of neovascularization in tumor angiogenesis. Opt. Express 13, 89–95 (2005).
Laufer, J., Delpy, D., Elwell, C. & Beard, P. Quantitative spatially resolved measurement of tissue chromophore concentrations using photoacoustic spectroscopy: application to the measurement of blood oxygenation and haemoglobin concentration. Phys. Med. Biol. 52, 141–168 (2007).
Zhang, H. F., Maslov, K., Stoica, G. & Wang, L. V. Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging. Nat. Biotechnol. 24, 848–851 (2006).
Xu, M. H. & Wang, L. V. Universal back-projection algorithm for photoacoustic computed tomography. Phys. Rev. E 71, 016706 (2005).
Nagae, K. et al. Real-time 3D photoacoustic visualization system with a wide field of view for imaging human limbs. F1000Research 7, 1813 (2018).
Lin, L. et al. Single-breath-hold photoacoustic computed tomography of the breast. Nat. Commun. 9, 2352 (2018).
Dantuma, M. et al. Fully three-dimensional sound speed-corrected multi-wavelength photoacoustic breast tomography. Preprint at https://arxiv.org/abs/2308.06754 (2023).
Na, S. et al. Massively parallel functional photoacoustic computed tomography of the human brain. Nat. Biomed. Eng. 6, 584–592 (2022).
Wong, T. T. et al. Fast label-free multilayered histology-like imaging of human breast cancer by photoacoustic microscopy. Sci. Adv. 3, e1602168 (2017).
Li, L. et al. Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. Nat. Biomed. Eng. 1, 0071 (2017).
Sun, Y. et al. Detection of weak near-infrared optical imaging signals under ambient light by optical parametric amplification. Opt. Lett. 44, 4391–4394 (2019).
Schürmann, M., Scholze, J., Müller, P., Guck, J. & Chan, C. J. Cell nuclei have lower refractive index and mass density than cytoplasm. J. Biophoton. 9, 1068–1076 (2016).
Rivenson, Y. et al. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning. Nat. Biomed. Eng. 3, 466–477 (2019).
Nygate, Y. N. et al. Holographic virtual staining of individual biological cells. Proc. Natl Acad. Sci. USA 117, 9223–9231 (2020).
Kandel, M. E. et al. Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments. Nat. Commun. 11, 6256 (2020).
You, S., Chaney, E. J., Tu, H., Sinha, S. & Boppart, S. A. Label-free deep profiling of the tumor microenvironment. Cancer Res. 81, 2534–2544 (2021).
Krafft, C. & Popp, J. Opportunities of optical and spectral technologies in intraoperative histopathology. Optica 10, 214–231 (2023).
Pradhan, P. et al. Computational tissue staining of non-linear multimodal imaging using supervised and unsupervised deep learning. Biomed. Opt. Express 12, 2280–2298 (2021).
You, S. et al. Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology. Precis. Oncol. 3, 33 (2019).
Hell, S. W. et al. The 2015 super-resolution microscopy roadmap. J. Phys. D 48, 443001 (2015).
Cotte, Y. et al. Marker-free phase nanoscopy. Nat. Photon. 7, 113–117 (2013).
Bi, Y. et al. Near-resonance enhanced label-free stimulated Raman scattering microscopy with spatial resolution near 130 nm. Light Sci. Appl. 7, 81 (2018).
Gong, L., Zheng, W., Ma, Y. & Huang, Z. Higher-order coherent anti-Stokes Raman scattering microscopy realizes label-free super-resolution vibrational imaging. Nat. Photon. 14, 115–122 (2020).
Danielli, A. et al. Label-free photoacoustic nanoscopy. J. Biomed. Opt. 19, 086006 (2014).
Fu, P. et al. Super-resolution imaging of non-fluorescent molecules by photothermal relaxation localization microscopy. Nat. Photon. 17, 330–337 (2023).
Lindfors, K., Kalkbrenner, T., Stoller, P. & Sandoghdar, V. Detection and spectroscopy of gold nanoparticles using supercontinuum white light confocal microscopy. Phys. Rev. Lett. 93, 037401 (2004).
Foley, E. D. B., Kushwah, M. S., Young, G. & Kukura, P. Mass photometry enables label-free tracking and mass measurement of single proteins on lipid bilayers. Nat. Methods 18, 1247–1252 (2021).
Heermann, T., Steiert, F., Ramm, B., Hundt, N. & Schwille, P. Mass-sensitive particle tracking to elucidate the membrane-associated MinDE reaction cycle. Nat. Methods 18, 1239–1246 (2021).
Sun, Y. et al. Intraoperative visualization of the tumor microenvironment and quantification of extracellular vesicles by label-free nonlinear imaging. Sci. Adv. 4, eaau5603 (2018).
Monroy, G. M., Won, J., Spillman, D. R., Dsouza, R. & Boppart, S. A. Clinical translation of handheld optical coherence tomography: practical considerations and recent advances. J. Biomed. Optics 22, 121715 (2017).
Jermyn, M. et al. Intraoperative brain cancer detection with Raman spectroscopy in humans. Sci. Transl. Med. 7, 274ra19 (2015).
Pshenay-Severin, E. et al. Multimodal nonlinear endomicroscopic imaging probe using a double-core double-clad fiber and focus-combining micro-optical concept. Light Sci. Appl. 10, 207 (2021).
Rank, E. A. et al. Toward optical coherence tomography on a chip: in vivo three-dimensional human retinal imaging using photonic integrated circuit-based arrayed waveguide gratings. Light Sci. Appl. 10, 6 (2021).
Wuytens, P. C., Skirtach, A. G. & Baets, R. On-chip surface-enhanced Raman spectroscopy using nanosphere-lithography patterned antennas on silicon nitride waveguides. Opt. Express 25, 12926–12934 (2017).
Yu, N. & Capasso, F. Flat optics with designer metasurfaces. Nat. Mater. 13, 139–150 (2014).
Neshev, D. & Aharonovich, I. Optical metasurfaces: new generation building blocks for multi-functional optics. Light Sci. Appl. 7, 58 (2018).
Meyer, T. et al. A compact microscope setup for multimodal nonlinear imaging in clinics and its application to disease diagnostics. Analyst 138, 4048–4057 (2013).
You, S. et al. Label-free visualization and characterization of extracellular vesicles in breast cancer. Proc. Natl Acad. Sci. USA 116, 24012–24018 (2019).
Iyer, R. R. et al. Ultra-parallel label-free optophysiology of neural activity. iScience 25, 104307 (2022).
Bower, A. J. et al. High-speed imaging of transient metabolic dynamics using two-photon fluorescence lifetime imaging microscopy. Optica 5, 1290–1296 (2018).
Tehrani, K.F., Park, J., Renteria, C. & Boppart, S.A. Label-free identification of Alzheimer’s disease plaques using multiple co-registered nonlinear optical biomarkers. In Clinical and Translational Neurophotonics, SPIE Photonics West BiOS 12364-2 (SPIE, 2023).
Lai, C. et al. Design and test of a rigid endomicroscopic system for multimodal imaging and femtosecond laser ablation. J. Biomed. Optics https://doi.org/10.1117/1.JBO.28.6.066004 (2023).
Chernavskaia, O. et al. Beyond endoscopic assessment in inflammatory bowel disease: real-time histology of disease activity by non-linear multimodal imaging. Sci. Rep. 6, 29239 (2016).
Fitzgerald, S. et al. Multimodal Raman spectroscopy and optical coherence tomography for biomedical analysis. J. Biophoton. https://doi.org/10.1002/jbio.202200231 (2023).
Kalashnikov, D. A., Paterova, A. V., Kulik, S. P. & Krivitsky, L. A. Infrared spectroscopy with visible light. Nat. Photon. 10, 98–101 (2016).
Barreto Lemos, G. et al. Quantum imaging with undetected photons. Nature 512, 409–412 (2014).
Acknowledgements
We acknowledge the support of the following grants: Horizon2020 ERC grant (678316) (PI: N.T.S.). NIH Center for Label-free Imaging and Multiscale Biophotonics (CLIMB) at the University of Illinois Urbana-Champaign (http://climb.beckman.illinois.edu) P41 EB031772 and NIH grant numbers R01 CA241618 and R01 CA213149 (PI: S.A.B.). NIH grant numbers R01 NS102213, U01 EB029823 (BRAIN Initiative), R35 CA220436 (Outstanding Investigator Award), and R01 EB028277 (PI: L.V.W.).
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Shaked, N.T., Boppart, S.A., Wang, L.V. et al. Label-free biomedical optical imaging. Nat. Photon. 17, 1031–1041 (2023). https://doi.org/10.1038/s41566-023-01299-6
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DOI: https://doi.org/10.1038/s41566-023-01299-6