All-optical Reflection-mode Microscopic Histology of Unstained Human Tissues

Surgical oncologists depend heavily on visual field acuity during cancer resection surgeries for in-situ margin assessment. Clinicians must wait up to two weeks for results from a pathology lab to confirm a post-operative diagnosis, potentially resulting in subsequent treatments. Currently, there are no clinical tools that can visualize diagnostically pertinent tissue information in-situ. Here, we present the first microscopy capable of non-contact label-free visualization of human cellular morphology in a reflection-mode apparatus. This is possible with the recently reported imaging modality called photoacoustic remote sensing microscopy which enables non-contact detection of optical absorption contrast. By taking advantage of the 266-nanometer optical absorption peak of DNA, photoacoustic remote sensing is efficacious in recovering qualitatively similar nuclear information in comparison to that provided by the hematoxylin stain in the gold-standard hematoxylin and eosin (H&E) prepared samples. A photoacoustic remote sensing system was employed utilizing a 266-nanometer pulsed excitation beam to induce photoacoustic pressures within the sample resulting in refractive index modulation of the optical absorber. A 1310-nanometer continuous-wave interrogation beam detects these perturbed regions as back reflected intensity variations due to the changes in the local optical properties. Using this technique, clinically useful histologic images of human tissue samples including breast cancer (invasive ductal carcinoma), tonsil, gastrointestinal, and pancreatic tissue images were formed. These were qualitatively comparable to standard H&E prepared samples.

[1]  James G. Fujimoto,et al.  Rapid virtual H&E histology of breast tissue specimens using a compact fluorescence nonlinear microscope , 2018, Laboratory Investigation.

[2]  David G. Kirsch,et al.  Optimization of a Widefield Structured Illumination Microscope for Non-Destructive Assessment and Quantification of Nuclear Features in Tumor Margins of a Primary Mouse Model of Sarcoma , 2013, PloS one.

[3]  Todd C. Hollon,et al.  Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy , 2017, Nature Biomedical Engineering.

[4]  V. Subramaniam,et al.  The use of fluorescent dyes and probes in surgical oncology. , 2010, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[5]  Jeannette Guarner,et al.  Factors that impact turnaround time of surgical pathology specimens in an academic institution. , 2012, Human pathology.

[6]  Stephan Saalfeld,et al.  Globally optimal stitching of tiled 3D microscopic image acquisitions , 2009, Bioinform..

[7]  Chi‐Kuang Sun,et al.  In Vivo Virtual Biopsy of Human Skin by Using Noninvasive Higher Harmonic Generation Microscopy , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[8]  Zachary T. Harmany,et al.  Microscopy with ultraviolet surface excitation for rapid slide-free histology , 2017, Nature Biomedical Engineering.

[9]  H. Feigelson,et al.  Variability in reexcision following breast conservation surgery. , 2012, JAMA.

[10]  Ashkan Ojaghi,et al.  Deep UV dispersion and absorption spectroscopy of biomolecules. , 2019, Biomedical optics express.

[11]  Wei Shi,et al.  Temporal evolution of low-coherence reflectrometry signals in photoacoustic remote sensing microscopy. , 2017, Applied optics.

[12]  Qingming Luo,et al.  Recent progress in tissue optical clearing , 2013, Laser & photonics reviews.

[13]  Takashi Buma,et al.  Multispectral photoacoustic microscopy of lipids using a pulsed supercontinuum laser. , 2018, Biomedical optics express.

[14]  Junjie Yao,et al.  Photoacoustic microscopy , 2013, Laser & photonics reviews.

[15]  Wei Shi,et al.  Deep non-contact photoacoustic initial pressure imaging , 2018, Optica.

[16]  P. Beard Biomedical photoacoustic imaging , 2011, Interface Focus.

[17]  Lawrence D. True,et al.  Light-sheet microscopy for slide-free non-destructive pathology of large clinical specimens , 2017, Nature Biomedical Engineering.

[18]  Reshma Jagsi,et al.  Residual disease after re‐excision lumpectomy for close margins , 2009, Journal of surgical oncology.

[19]  Da-Kang Yao,et al.  Label-free photoacoustic microscopy of cytochromes , 2013, Journal of biomedical optics.

[20]  Chi Zhang,et al.  Fast label-free multilayered histology-like imaging of human breast cancer by photoacoustic microscopy , 2017, Science Advances.

[21]  L. Trümper From bench to bedside , 2005, Medizinische Klinik.

[22]  James G. Fujimoto,et al.  Assessment of breast pathologies using nonlinear microscopy , 2014, Proceedings of the National Academy of Sciences.

[23]  G. Dallal,et al.  Novel 16-minute technique for evaluating melanoma resection margins during Mohs surgery. , 2011, Journal of the American Academy of Dermatology.

[24]  Lihong V Wang,et al.  Photoacoustic microscopy and computed tomography: from bench to bedside. , 2014, Annual review of biomedical engineering.

[25]  Clive R Taylor,et al.  Evaluation of the Value of Frozen Tissue Section Used as “Golden Standard” for Immunohistochemistry , 2007, American journal of clinical pathology.

[26]  Wei Shi,et al.  Non-interferometric photoacoustic remote sensing microscopy , 2017, Light: Science & Applications.

[27]  Katherine N. Elfer,et al.  Video-rate structured illumination microscopy for high-throughput imaging of large tissue areas. , 2014, Biomedical optics express.

[28]  Qifa Zhou,et al.  Label-free automated three-dimensional imaging of whole organs by microtomy-assisted photoacoustic microscopy , 2017, Nature Communications.

[29]  Qifa Zhou,et al.  Optimal ultraviolet wavelength for in vivo photoacoustic imaging of cell nuclei. , 2012, Journal of biomedical optics.

[30]  Roger J. Zemp,et al.  Toward wide-field high-speed photoacoustic remote sensing microscopy , 2018, BiOS.

[31]  Stephen A. Boppart,et al.  Stain-free histopathology by programmable supercontinuum pulses , 2016, Nature Photonics.