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Tweel JED, Ecclestone BR, Boktor M, Dinakaran D, Mackey JR, Reza PH. Automated Whole Slide Imaging for Label-Free Histology Using Photon Absorption Remote Sensing Microscopy. IEEE Trans Biomed Eng 2024; 71:1901-1912. [PMID: 38231822 DOI: 10.1109/tbme.2024.3355296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
OBJECTIVE Pathologists rely on histochemical stains to impart contrast in thin translucent tissue samples, revealing tissue features necessary for identifying pathological conditions. However, the chemical labeling process is destructive and often irreversible or challenging to undo, imposing practical limits on the number of stains that can be applied to the same tissue section. Here we present an automated label-free whole slide scanner using a PARS microscope designed for imaging thin, transmissible samples. METHODS Peak SNR and in-focus acquisitions are achieved across entire tissue sections using the scattering signal from the PARS detection beam to measure the optimal focal plane. Whole slide images (WSI) are seamlessly stitched together using a custom contrast leveling algorithm. Identical tissue sections are subsequently H&E stained and brightfield imaged. The one-to-one WSIs from both modalities are visually and quantitatively compared. RESULTS PARS WSIs are presented at standard 40x magnification in malignant human breast and skin samples. We show correspondence of subcellular diagnostic details in both PARS and H&E WSIs and demonstrate virtual H&E staining of an entire PARS WSI. The one-to-one WSI from both modalities show quantitative similarity in nuclear features and structural information. CONCLUSION PARS WSIs are compatible with existing digital pathology tools, and samples remain suitable for histochemical, immunohistochemical, and other staining techniques. SIGNIFICANCE This work is a critical advance for integrating label-free optical methods into standard histopathology workflows.
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2
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Boktor M, Tweel JED, Ecclestone BR, Ye JA, Fieguth P, Haji Reza P. Multi-channel feature extraction for virtual histological staining of photon absorption remote sensing images. Sci Rep 2024; 14:2009. [PMID: 38263394 PMCID: PMC10805725 DOI: 10.1038/s41598-024-52588-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/20/2024] [Indexed: 01/25/2024] Open
Abstract
Accurate and fast histological staining is crucial in histopathology, impacting diagnostic precision and reliability. Traditional staining methods are time-consuming and subjective, causing delays in diagnosis. Digital pathology plays a vital role in advancing and optimizing histology processes to improve efficiency and reduce turnaround times. This study introduces a novel deep learning-based framework for virtual histological staining using photon absorption remote sensing (PARS) images. By extracting features from PARS time-resolved signals using a variant of the K-means method, valuable multi-modal information is captured. The proposed multi-channel cycleGAN model expands on the traditional cycleGAN framework, allowing the inclusion of additional features. Experimental results reveal that specific combinations of features outperform the conventional channels by improving the labeling of tissue structures prior to model training. Applied to human skin and mouse brain tissue, the results underscore the significance of choosing the optimal combination of features, as it reveals a substantial visual and quantitative concurrence between the virtually stained and the gold standard chemically stained hematoxylin and eosin images, surpassing the performance of other feature combinations. Accurate virtual staining is valuable for reliable diagnostic information, aiding pathologists in disease classification, grading, and treatment planning. This study aims to advance label-free histological imaging and opens doors for intraoperative microscopy applications.
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Affiliation(s)
- Marian Boktor
- PhotoMedicine Labs, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
- Vision and Image Processing Lab, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
| | - James E D Tweel
- PhotoMedicine Labs, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
- illumiSonics Inc., 22 King Street South, Suite 300, Waterloo, ON, N2J 1N8, Canada
| | - Benjamin R Ecclestone
- PhotoMedicine Labs, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
- illumiSonics Inc., 22 King Street South, Suite 300, Waterloo, ON, N2J 1N8, Canada
| | - Jennifer Ai Ye
- Vision and Image Processing Lab, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
| | - Paul Fieguth
- Vision and Image Processing Lab, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
| | - Parsin Haji Reza
- PhotoMedicine Labs, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
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3
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Tweel JED, Ecclestone BR, Gaouda H, Dinakaran D, Wallace MP, Bigras G, Mackey JR, Reza PH. Photon Absorption Remote Sensing Imaging of Breast Needle Core Biopsies Is Diagnostically Equivalent to Gold Standard H&E Histologic Assessment. Curr Oncol 2023; 30:9760-9771. [PMID: 37999128 PMCID: PMC10670721 DOI: 10.3390/curroncol30110708] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 11/25/2023] Open
Abstract
Photon absorption remote sensing (PARS) is a new laser-based microscope technique that permits cellular-level resolution of unstained fresh, frozen, and fixed tissues. Our objective was to determine whether PARS could provide an image quality sufficient for the diagnostic assessment of breast cancer needle core biopsies (NCB). We PARS imaged and virtually H&E stained seven independent unstained formalin-fixed paraffin-embedded breast NCB sections. These identical tissue sections were subsequently stained with standard H&E and digitally scanned. Both the 40× PARS and H&E whole-slide images were assessed by seven breast cancer pathologists, masked to the origin of the images. A concordance analysis was performed to quantify the diagnostic performances of standard H&E and PARS virtual H&E. The PARS images were deemed to be of diagnostic quality, and pathologists were unable to distinguish the image origin, above that expected by chance. The diagnostic concordance on cancer vs. benign was high between PARS and conventional H&E (98% agreement) and there was complete agreement for within-PARS images. Similarly, agreement was substantial (kappa > 0.6) for specific cancer subtypes. PARS virtual H&E inter-rater reliability was broadly consistent with the published literature on diagnostic performance of conventional histology NCBs across all tested histologic features. PARS was able to image unstained tissues slides that were diagnostically equivalent to conventional H&E. Due to its ability to non-destructively image fixed and fresh tissues, and the suitability of the PARS output for artificial intelligence assistance in diagnosis, this technology has the potential to improve the speed and accuracy of breast cancer diagnosis.
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Affiliation(s)
- James E. D. Tweel
- PhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (J.E.D.T.); (B.R.E.); (H.G.)
- Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada; (D.D.); (J.R.M.)
| | - Benjamin R. Ecclestone
- PhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (J.E.D.T.); (B.R.E.); (H.G.)
- Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada; (D.D.); (J.R.M.)
| | - Hager Gaouda
- PhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (J.E.D.T.); (B.R.E.); (H.G.)
- Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada; (D.D.); (J.R.M.)
| | - Deepak Dinakaran
- Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada; (D.D.); (J.R.M.)
| | - Michael P. Wallace
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada;
| | - Gilbert Bigras
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - John R. Mackey
- Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada; (D.D.); (J.R.M.)
| | - Parsin Haji Reza
- PhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (J.E.D.T.); (B.R.E.); (H.G.)
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Martell MT, Haven NJM, Cikaluk BD, Restall BS, McAlister EA, Mittal R, Adam BA, Giannakopoulos N, Peiris L, Silverman S, Deschenes J, Li X, Zemp RJ. Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy. Nat Commun 2023; 14:5967. [PMID: 37749108 PMCID: PMC10519961 DOI: 10.1038/s41467-023-41574-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/11/2023] [Indexed: 09/27/2023] Open
Abstract
The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin evaluation, albeit with known inaccuracies. Here, we introduce a label-free histological imaging method based on an ultraviolet photoacoustic remote sensing and scattering microscope, combined with unsupervised deep learning using a cycle-consistent generative adversarial network for realistic virtual staining. Unstained tissues are scanned at rates of up to 7 mins/cm2, at resolution equivalent to 400x digital histopathology. Quantitative validation suggests strong concordance with conventional histology in benign and malignant prostate and breast tissues. In diagnostic utility studies we demonstrate a mean sensitivity and specificity of 0.96 and 0.91 in breast specimens, and respectively 0.87 and 0.94 in prostate specimens. We also find virtual stain quality is preferred (P = 0.03) compared to frozen section analysis in a blinded survey of pathologists.
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Affiliation(s)
- Matthew T Martell
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Nathaniel J M Haven
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Brendyn D Cikaluk
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Brendon S Restall
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Ewan A McAlister
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Rohan Mittal
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Benjamin A Adam
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Nadia Giannakopoulos
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Lashan Peiris
- Department of Surgery, University of Alberta, 8440 - 112 Street, Edmonton, AB, T6G 2B7, Canada
| | - Sveta Silverman
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Jean Deschenes
- Department of Laboratory Medicine and Pathology, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6G 1C9, Canada
| | - Xingyu Li
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada
| | - Roger J Zemp
- Department of Electrical and Computer Engineering, University of Alberta, 116 Street & 85 Avenue, Edmonton, AB, T6G 2R3, Canada.
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Yuan Y, Wen X, Yuan B, Xin H, Fang B, Yang S, Xiong K. Photoacoustic remote sensing elastography. OPTICS LETTERS 2023; 48:2321-2324. [PMID: 37126264 DOI: 10.1364/ol.485623] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The mechanical properties of organisms are important indicators for clinical disputes and disease monitoring, yet most existing elastography techniques are based on contact measurements, which are limited in many application scenarios. Photoacoustic remote sensing elastography (PARSE) is the first, to the best of our knowledge, elastography modality based on acoustic pressure monitoring, where elastic contrast information is obtained by using an all-optical non-contact and non-coherent intensity monitoring method through the time-response properties of laser-induced photoacoustic pressure. To validate PARSE, sections of different elastic organs were measured and this modality was applied to differentiate between bronchial cartilage and soft tissue to confirm the validity of the elasticity evaluation. PARSE, through a mathematical derivation process, has a 9.5-times greater distinction detection capability than photoacoustic remote sensing (PARS) imaging in stained bronchial sections, expands the scope of conventional PARS imaging, and has potential to become an important complementary imaging modality.
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Cikaluk BD, Restall BS, Haven NJM, Martell MT, McAlister EA, Zemp RJ. Rapid ultraviolet photoacoustic remote sensing microscopy using voice-coil stage scanning. OPTICS EXPRESS 2023; 31:10136-10149. [PMID: 37157568 DOI: 10.1364/oe.481313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
There is an unmet need for fast virtual histology technologies that exhibit histological realism and can scan large sections of fresh tissue within intraoperative time-frames. Ultraviolet photoacoustic remote sensing microscopy (UV-PARS) is an emerging imaging modality capable of producing virtual histology images that show good concordance to conventional histology stains. However, a UV-PARS scanning system that can perform rapid intraoperative imaging over mm-scale fields-of-view at fine resolution (<500 nm) has yet to be demonstrated. In this work, we present a UV-PARS system which utilizes voice-coil stage scanning to demonstrate finely resolved images for 2×2 mm2 areas at 500 nm sampling resolution in 1.33 minutes and coarsely resolved images for 4×4 mm2 areas at 900 nm sampling resolution in 2.5 minutes. The results of this work demonstrate the speed and resolution capabilities of the UV-PARS voice-coil system and further develop the potential for UV-PARS microscopy to be employed in a clinical setting.
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7
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Investigating mechanisms of laser pulse-induced reflectivity modulations in photoacoustic remote sensing with a 10 million frames-per-second camera. Sci Rep 2023; 13:3751. [PMID: 36882492 PMCID: PMC9992668 DOI: 10.1038/s41598-023-30831-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/02/2023] [Indexed: 03/09/2023] Open
Abstract
Photoacoustic remote sensing has been recently developed as an all-optical imaging modality capable of imaging a variety of endogenous contrast agents label-free. Initially predicted laser pulse-induced refractive index perturbation-based interrogation beam reflectivity modulations have been found to be orders of magnitude smaller than those typically observed experimentally. In this report we utilize a 10 million frames-per-second camera to further investigate these predicted reflectivity modulations, while also exploring other potential mechanisms of laser pulse-induced reflectivity modulations. Laser-induced motion is demonstrated both laterally for gold wires suspended and submerged in air and water, respectively, and carbon fibers submerged in water, and axial motion is observed in gold wires submerged in a depth gradient of intralipid solution. This laser-induced sample motion is anticipated to cause reflectivity modulations local to the interrogation beam profile in microscopy set-ups. Non-motion-based maximum intensity modulations of 3% are also observed in gold wires submerged in water, indicating the presence of the originally predicted reflectivity modulations. Overall, these observations are important as they provide a widefield view of laser-pulse interactions unavailable in previous point scanning-based photoacoustic remote sensing microscopy configurations, where observed mechanisms occur on time-scales orders of magnitude faster than equivalent field of view point scanning capabilities.
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Chen N, Yu J, Liu L, Xu Z, Gao R, Chen T, Song L, Zheng W, Liu C. Video-rate high-resolution single-pixel nonscanning photoacoustic microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:3823-3835. [PMID: 35991922 PMCID: PMC9352284 DOI: 10.1364/boe.459363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/10/2022] [Accepted: 05/27/2022] [Indexed: 06/15/2023]
Abstract
Optical-resolution photoacoustic microscopy (OR-PAM) is widely utilized in biomedical applications because of its ability to noninvasively image biological tissues in vivo while providing high-resolution morphological and functional information. However, one drawback of conventional OR-PAM is its imaging speed, which is restricted by the scanning technique employed. To achieve a higher imaging frame rate, we present video-rate high-resolution single-pixel nonscanning photoacoustic microscopy (SPN-PAM), which utilizes Fourier orthogonal basis structured planar illumination to overcome the above-mentioned limitations. A 473 × 473 µm2 imaging field of view (FOV) with 3.73 µm lateral resolution and video-rate imaging of 30 Hz were achieved. In addition, in both in vitro cell and in vivo mouse vascular hemodynamic imaging experiments, high-quality images were obtained at ultralow sampling rates. Thus, the proposed high-resolution SPN-PAM with video-rate imaging speed provides new insights into high-speed PA imaging and could be a powerful tool for rapid biological imaging.
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Affiliation(s)
- Ningbo Chen
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Equal contributors
| | - Jia Yu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Equal contributors
| | - Liangjian Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
- National Innovation Center for Advanced Medical Devices, Shenzhen 518131, China
- Equal contributors
| | - Zhiqiang Xu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Rongkang Gao
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Tao Chen
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Liang Song
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wei Zheng
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chengbo Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Temporal Evolution of Refractive Index Induced by Short Laser Pulses Accounting for Both Photoacoustic and Photothermal Effects. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12126256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Materials such as silicon, copper, gold, and aluminum exhibit strong absorption and scattering characterization under short-pulsed laser irradiation. Due to the photoelastic effect and thermoelastic relaxation, the focal area may induce a local modulation in the refractive index, which can be detected with the intensity reflection coefficient perturbation. Normally, the thermal effect causes a weak refractive index change and is negligible, compared with the pressure-induced effect in most photoacoustic analytical systems. In this study, we present a theoretical model with the whole process of absorbed energy conversion analysis for the refractive index perturbation induced by both thermal effect and photoacoustic pressure. In this model, data analysis was carried out on the transformation of the energy absorbed by the sample into heat and stress. To prove the feasibility of this model, numerical simulation was performed for the photothermal and photoacoustic effects under different incident intensities using the finite element method. Experiment results on silicon and carbon fiber verified that the refractive index change induced by the photothermal effect can be detected and be incorporated with pressure-induced refractive index change. The simulation results showed very good agreement with the results of the experiments. The main aim of this study was to further understand the absorption and conversion process of short-pulsed light energy and the resulting photothermal and photoacoustic effects.
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10
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Ecclestone BR, Bell K, Sparkes S, Dinakaran D, Mackey JR, Haji Reza P. Label-free complete absorption microscopy using second generation photoacoustic remote sensing. Sci Rep 2022; 12:8464. [PMID: 35589763 PMCID: PMC9120477 DOI: 10.1038/s41598-022-11235-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/14/2022] [Indexed: 11/24/2022] Open
Abstract
In the past decades, absorption modalities have emerged as powerful tools for label-free functional and structural imaging of cells and tissues. Many biomolecules present unique absorption spectra providing chromophore-specific information on properties such as chemical bonding, and sample composition. As chromophores absorb photons the absorbed energy is emitted as photons (radiative relaxation) or converted to heat and under specific conditions pressure (non-radiative relaxation). Modalities like fluorescence microscopy may capture radiative relaxation to provide contrast, while modalities like photoacoustic microscopy may leverage non-radiative heat and pressures. Here we show an all-optical non-contact total-absorption photoacoustic remote sensing (TA-PARS) microscope, which can capture both radiative and non-radiative absorption effects in a single acquisition. The TA-PARS yields an absorption metric proposed as the quantum efficiency ratio (QER), which visualizes a biomolecule’s proportional radiative and non-radiative absorption response. The TA-PARS provides label-free visualization of a range of biomolecules enabling convincing analogues to traditional histochemical staining of tissues, effectively providing label-free Hematoxylin and Eosin (H&E)-like visualizations. These findings establish an effective all-optical non-contact total-absorption microscope for label-free inspection of biological materials.
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Affiliation(s)
- Benjamin R Ecclestone
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.,IllumiSonics Inc, 22 King Street South, Suite 300, Waterloo, ON, N2J 1N8, Canada
| | - Kevan Bell
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.,IllumiSonics Inc, 22 King Street South, Suite 300, Waterloo, ON, N2J 1N8, Canada
| | - Sarah Sparkes
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
| | - Deepak Dinakaran
- Department of Oncology, Cross Cancer Institute, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2V1, Canada
| | - John R Mackey
- Department of Oncology, Cross Cancer Institute, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2V1, Canada
| | - Parsin Haji Reza
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
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11
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Li X, Kot JC, Tsang VT, Lo CT, Huang B, Tian Y, Wong IH, Cheung HH, Kang L, Chang AC, Wong TT. Ultraviolet photoacoustic microscopy with tissue clearing for high-contrast histological imaging. PHOTOACOUSTICS 2022; 25:100313. [PMID: 34804794 PMCID: PMC8581572 DOI: 10.1016/j.pacs.2021.100313] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/15/2021] [Accepted: 11/01/2021] [Indexed: 05/03/2023]
Abstract
Ultraviolet photoacoustic microscopy (UV-PAM) has been investigated to provide label-free and registration-free volumetric histological images for whole organs, offering new insights into complex biological organs. However, because of the high UV absorption of lipids and pigments in tissue, UV-PAM suffers from low image contrast and shallow image depth, hindering its capability for revealing various microstructures in organs. To improve the UV-PAM imaging contrast and imaging depth, here we propose to implement a state-of-the-art optical clearing technique, CUBIC (clear, unobstructed brain/body imaging cocktails and computational analysis), to wash out the lipids and pigments from tissues. Our results show that the UV-PAM imaging contrast and quality can be significantly improved after tissue clearing. With the cleared tissue, multilayers of cell nuclei can also be extracted from time-resolved PA signals. Tissue clearing-enhanced UV-PAM can provide fine details for organ imaging.
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Affiliation(s)
| | | | - Victor T.C. Tsang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Claudia T.K. Lo
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Bingxin Huang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Ye Tian
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Ivy H.M. Wong
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Helen H.Y. Cheung
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Lei Kang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Atta C.Y. Chang
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Terence T.W. Wong
- Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
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12
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Restall BS, Cikaluk BD, Martell MT, Haven NJM, Mittal R, Silverman S, Peiris L, Deschenes J, Adam BA, Kinnaird A, Zemp RJ. Fast hybrid optomechanical scanning photoacoustic remote sensing microscopy for virtual histology. BIOMEDICAL OPTICS EXPRESS 2022; 13:39-47. [PMID: 35154852 PMCID: PMC8803023 DOI: 10.1364/boe.443751] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/01/2021] [Accepted: 11/23/2021] [Indexed: 05/25/2023]
Abstract
A rapid scanning microscopy method for hematoxylin and eosin (H&E) like images is sought after for interoperative diagnosis of solid tumor margins. The rapid observation and diagnosis of histological samples can greatly lower surgical risk and improve patient outcomes from solid tumor resection surgeries. Photoacoustic remote sensing (PARS) has recently been demonstrated to provide images of virtual H&E stains with excellent concordance with true H&E staining of formalin-fixed, paraffin embedded tissues. By using PARS with constant velocity and 1D galvanometer mirror scanning we acquire large virtual H&E images (10mm x 5mm) of prostate tissue in less than 3.5 minutes without staining, and over two orders of magnitude faster data acquisition than the current PARS imaging speed.
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Affiliation(s)
- Brendon S. Restall
- University of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada
| | - Brendyn D. Cikaluk
- University of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada
| | - Matthew. T. Martell
- University of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada
| | - Nathaniel J. M. Haven
- University of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada
| | - Rohan Mittal
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
| | - Sveta Silverman
- Laboratory Medicine, Misericordia Hospital, Edmonton, Canada
| | - Lashan Peiris
- Division of Department of Surgery, University of Alberta, Edmonton, Canada
| | - Jean Deschenes
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
| | - Benjamin A. Adam
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
| | - Adam Kinnaird
- Division of Urology, Department of Surgery, University of Alberta, Edmonton, Canada
| | - Roger J. Zemp
- University of Alberta, Electrical and Computer Engineering Department, Edmonton, Canada
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Cho SW, Park SM, Park B, Kim DY, Lee TG, Kim BM, Kim C, Kim J, Lee SW, Kim CS. High-speed photoacoustic microscopy: A review dedicated on light sources. PHOTOACOUSTICS 2021; 24:100291. [PMID: 34485074 PMCID: PMC8403586 DOI: 10.1016/j.pacs.2021.100291] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/18/2021] [Accepted: 08/03/2021] [Indexed: 05/05/2023]
Abstract
In recent years, many methods have been investigated to improve imaging speed in photoacoustic microscopy (PAM). These methods mainly focused upon three critical factors contributing to fast PAM: laser pulse repetition rate, scanning speed, and computing power of the microprocessors. A high laser repetition rate is fundamentally the most crucial factor to increase the PAM speed. In this paper, we review methods adopted for fast PAM systems in detail, specifically with respect to light sources. To the best of our knowledge, ours is the first review article analyzing the fundamental requirements for developing high-speed PAM and their limitations from the perspective of light sources.
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Affiliation(s)
- Soon-Woo Cho
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, Republic of Korea
| | - Sang Min Park
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, Republic of Korea
| | - Byullee Park
- Department of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Do Yeon Kim
- Safety Measurement Institute, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
- Department of Bio-Convergence Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Tae Geol Lee
- Safety Measurement Institute, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Beop-Min Kim
- Department of Bio-Convergence Engineering, Korea University, Seoul, 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02481, Republic of Korea
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Jeesu Kim
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, Republic of Korea
| | - Sang-Won Lee
- Safety Measurement Institute, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
- Department of Medical Physics, University of Science and Technology, Daejeon, 34113, Republic of Korea
| | - Chang-Seok Kim
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, 46241, Republic of Korea
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Haven NJM, Martell MT, Cikaluk BD, Restall BS, McAlister E, Silverman S, Peiris L, Deschenes J, Li X, Zemp RJ. Virtual histopathology with ultraviolet scattering and photoacoustic remote sensing microscopy. OPTICS LETTERS 2021; 46:5153-5156. [PMID: 34653139 DOI: 10.1364/ol.436136] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
Realistic label-free virtual histopathology has been a long sought-after goal not yet achieved with current methods. Here, we introduce high-resolution hematoxylin and eosin (H&E)-like virtual histology of unstained human breast lumpectomy specimen sections using ultraviolet scattering-augmented photoacoustic remote sensing microscopy. Together with a colormap-matching algorithm based on blind stain separation from a reference true H&E image, we are able to produce virtual H&E images of unstained tissues with close concordance to true H&E-stained sections, with promising diagnostic utility.
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Restall BS, Kedarisetti P, Haven NJM, Martell MT, Zemp RJ. Multimodal 3D photoacoustic remote sensing and confocal fluorescence microscopy imaging. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210059R. [PMID: 34523269 PMCID: PMC8440567 DOI: 10.1117/1.jbo.26.9.096501] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 08/06/2021] [Indexed: 05/25/2023]
Abstract
SIGNIFICANCE Complementary absorption and fluorescence contrast could prove useful for a wide range of biomedical applications. However, current absorption-based photoacoustic microscopy systems require the ultrasound transducers to physically touch the samples, thereby increasing contamination and limiting strong optical focusing in reflection mode. AIM We sought to develop an all-optical system for imaging cells and tissues using the three combined imaging modalities: photoacoustic remote sensing (PARS), epifluorescence, and confocal laser scanning microscopy (CLSM). APPROACH A PARS subsystem with ultraviolet excitation was used to obtain label-free absorption-contrast images of nucleic acids in ex vivo tissue samples. Co-integrated epifluorescence and CLSM subsystems were used to verify the 2D and 3D nuclei distribution. RESULTS Complementary absorption and fluorescence contrast were demonstrated in phantom imaging experiments and subsequent cell and tissue imaging experiments. Lateral and axial resolution of ultraviolet-PARS (UV-PARS) is shown to be 0.39 and 1.6 μm, respectively, with 266-nm light. CLSM lateral and axial resolution was measured as 0.97 and 2.0 μm, respectively. This resolution is sufficient to image individual cell layers with fine optical sectioning. UV-PARS images of cell nuclei are validated in thick tissue using CLSM. CONCLUSIONS Multimodal absorption and fluorescence contrast are obtained with a non-contact all-optical microscopy system for the first time and utilized to obtain images of cells and tissues with subcellular resolution.
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Affiliation(s)
- Brendon S. Restall
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
| | - Pradyumna Kedarisetti
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
| | - Nathaniel J. M. Haven
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
| | - Matthew T. Martell
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
| | - Roger J. Zemp
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
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Kedarisetti P, Restall BS, Haven NJM, Martell MT, Cikaluk BD, Deschenes J, Zemp RJ. F-mode ultraviolet photoacoustic remote sensing for label-free virtual H&E histopathology using a single excitation wavelength. OPTICS LETTERS 2021; 46:3500-3503. [PMID: 34329209 DOI: 10.1364/ol.426543] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
Photoacoustic remote sensing (PARS) is a novel all-optical imaging modality that allows for non-contact detection of initial photoacoustic pressures. Using 266-nm excitation pulses, ultraviolet PARS (UV-PARS) has previously demonstrated imaging contrast for cell nuclei in histological samples with <400nm resolution. In prior PARS-based imaging schemes, the signal amplitude at an interrogation point was determined by the maximum deflection from the DC scattering signal in response to a pulsed excitation. This method, however, does not take into consideration additional information encoded in the frequency domain of the recorded PARS signals. Here, we present a frequency domain technique called F-mode PARS that can be used to generate images with nuclear and cytoplasmic enhanced contrast, enabling label-free virtual hematoxylin-and-eosin-like microscopy, using only a single excitation wavelength. With F-mode processing, we have been able to demonstrate contrast-to-noise ratios of up to 38 dB between cell nuclei and surrounding cytoplasm, which represents up to a 25-dB improvement over previous implementations of UV-PARS systems.
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Ecclestone B, Dinakaran D, Reza PH. Single acquisition label-free histology-like imaging with dual-contrast photoacoustic remote sensing microscopy. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210052R. [PMID: 34036757 PMCID: PMC8144614 DOI: 10.1117/1.jbo.26.5.056007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 05/10/2021] [Indexed: 05/03/2023]
Abstract
SIGNIFICANCE Histopathological analysis of tissues is an essential tool for grading, staging, diagnosing, and resecting cancers and other malignancies. Current histopathological imaging techniques require substantial sample processing, prior to staining with hematoxylin and eosin (H&E) dyes, to highlight nuclear and cellular morphology. Sample preparation and staining is resource intensive and introduces potential for variability during sample preparation. AIM We present a method for direct label-free histopathological assessment of formalin-fixed paraffin-embedded tissue blocks and thin tissue sections using a dual-contrast photoacoustic remote sensing (PARS) microscopy system. APPROACH To emulate the nuclear and cellular contrast of H&E staining, we leverage unique properties of the PARS system. Here, the ultraviolet excitation PARS microscope takes advantage of DNA's unique optical absorption to provide nuclear contrast analogous to hematoxylin staining of cell nuclei. Concurrently, the optical scattering contrast of the PARS detection system is leveraged to provide bulk tissue contrast reminiscent of eosin staining of cell membranes. RESULTS We demonstrate the efficacy of this technique by imaging human breast tissue and human skin tissues in formalin-fixed paraffin-embedded tissue blocks and frozen sections, respectively. Salient nuclear and extranuclear features such as cancerous cells, glands and ducts, adipocytes, and stromal structures such as collagen are captured. CONCLUSIONS The presented dual-contrast PARS microscope enables label-free visualization of tissues with contrast and quality comparable to the current gold standard for histopathological analysis. Thus, the proposed system is well positioned to augment existing histopathological workflows, providing histological imaging directly on unstained tissue blocks and sections.
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Affiliation(s)
- Benjamin Ecclestone
- University of Waterloo, Faculty of Engineering, Systems Design Engineering, PhotoMedicine Labs, Waterloo, Ontario, Canada
- illumiSonics, Waterloo, Canada
| | - Deepak Dinakaran
- illumiSonics, Waterloo, Canada
- University of Alberta, Department of Oncology, Edmonton, Alberta, Canada
| | - Parsin Haji Reza
- University of Waterloo, Faculty of Engineering, Systems Design Engineering, PhotoMedicine Labs, Waterloo, Ontario, Canada
- Address all correspondence to Parsin Haji Reza,
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Zhou J, Wang W, Jing L, Chen SL. Dual-modal imaging with non-contact photoacoustic microscopy and fluorescence microscopy. OPTICS LETTERS 2021; 46:997-1000. [PMID: 33649646 DOI: 10.1364/ol.417273] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Simultaneous imaging of complementary absorption and fluorescence contrasts with high spatial resolution is useful for biomedical studies. However, conventional dual-modal photoacoustic (PA) and fluorescence imaging systems require the use of acoustic coupling media due to the contact operation of PA imaging, which causes issues and complicates the procedure in certain applications such as cell imaging and ophthalmic imaging. We present a novel dual-modal imaging system which combines non-contact PA microscopy (PAM) based on PA remote sensing and fluorescence microscopy (FLM) into one platform. The system enables high lateral resolution of 2 and 2.7 µm for PAM and FLM modes, respectively. In vivo imaging of a zebrafish larva injected with a rhodamine B solution is demonstrated, with PAM visualizing the pigment and FLM revealing the injected rhodamine B.
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Das D, Sharma A, Rajendran P, Pramanik M. Another decade of photoacoustic imaging. Phys Med Biol 2020; 66. [PMID: 33361580 DOI: 10.1088/1361-6560/abd669] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/23/2020] [Indexed: 01/09/2023]
Abstract
Photoacoustic imaging - a hybrid biomedical imaging modality finding its way to clinical practices. Although the photoacoustic phenomenon was known more than a century back, only in the last two decades it has been widely researched and used for biomedical imaging applications. In this review we focus on the development and progress of the technology in the last decade (2010-2020). From becoming more and more user friendly, cheaper in cost, portable in size, photoacoustic imaging promises a wide range of applications, if translated to clinic. The growth of photoacoustic community is steady, and with several new directions researchers are exploring, it is inevitable that photoacoustic imaging will one day establish itself as a regular imaging system in the clinical practices.
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Affiliation(s)
- Dhiman Das
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Arunima Sharma
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Praveenbalaji Rajendran
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 70 Nanyang Drive, N1.3-B2-11, Singapore, 637457, SINGAPORE
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Kim H, Baik JW, Jeon S, Kim JY, Kim C. PAExM: label-free hyper-resolution photoacoustic expansion microscopy. OPTICS LETTERS 2020; 45:6755-6758. [PMID: 33325889 DOI: 10.1364/ol.404041] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Reflection-mode ultraviolet photoacoustic microscopy (UV-PAM) is capable of imaging cell nuclei in thick tissue without complex preparation procedures, but it is challenging to distinguish adjacent nuclei due to the limited spatial resolution. Tissue expansion technology has recently been developed to exceed the diffraction-limited fluorescence microscopies, but it is accompanied by limitations including additional staining. Herein, photoacoustic expansion microscopy (PAExM) is presented, which is an advanced histologic imaging strategy combining advantages of fast label-free reflection-mode UV-PAM and the tissue expansion technology. Clustered cell nuclei in an enlarged volume of a mouse brain section can be visually resolved without staining, demonstrating a great potential of the system to be widely used for histologic applications throughout biomedical fields.
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Jo J, Siddiqui J, Zhu Y, Ni L, Kothapalli SR, Tomlins SA, Wei JT, Keller ET, Udager AM, Wang X, Xu G. Photoacoustic spectral analysis at ultraviolet wavelengths for characterizing the Gleason grades of prostate cancer. OPTICS LETTERS 2020; 45:6042-6045. [PMID: 33137064 PMCID: PMC7687867 DOI: 10.1364/ol.409249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 09/23/2020] [Indexed: 06/11/2023]
Abstract
The diagnosis of aggressive prostate cancer (PCa) has relied on microscopic architectures, namely Gleason patterns, of tissues extracted through core biopsies. Technology capable of assessing the tissue architecture without tissue extraction will reduce the invasiveness of PCa diagnosis and improve diagnostic accuracy by allowing for more sampling locations. Our recently developed photoacoustic spectral analysis (PASA) has achieved quantification of tissue architectural heterogeneity interstitially. Taking advantage of the unique optical absorption of cell nuclei at ultraviolet (UV) wavelengths, this study investigated PASA at 266 nm for quantifying the tissue architecture heterogeneity in prostates. The results have shown significant differences among the normal, early cancer, and late cancer stages in mouse prostates ex vivo and in vivo (n=20, p<0.05). The study with human samples ex vivo has shown a correlation of 0.80 (n=11, p<0.05) between PASA quantification and pathologic diagnosis.
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Affiliation(s)
- Janggun Jo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Javed Siddiqui
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Yunhao Zhu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Linyu Ni
- Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania, 16802, USA
| | | | - Scott A. Tomlins
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - John T Wei
- Department of Urology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Evan T. Keller
- Department of Urology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Aaron M. Udager
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, 48109, USA
- Michigan Center for Translational Pathology, Ann Arbor, MI, 48109, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Guan Xu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, 48109, USA
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Li X, Kang L, Zhang Y, Wong TTW. High-speed label-free ultraviolet photoacoustic microscopy for histology-like imaging of unprocessed biological tissues. OPTICS LETTERS 2020; 45:5401-5404. [PMID: 33001904 DOI: 10.1364/ol.401643] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Ultraviolet photoacoustic microscopy (UV-PAM) has recently been demonstrated as a potential imaging tool for surgical margin analysis (SMA). UV-PAM does not require staining or micrometer-thick slicing, which is inevitable in conventional histological imaging. To promote UV-PAM as a practical intraoperative diagnostic tool, the imaging speed should be improved while preserving the high-resolution imaging capability and simplistic system design. In this Letter, we developed a galvanometer mirror-based UV-PAM (GM-UV-PAM) system for high-speed histology-like imaging. By using a UV laser with a high repetition rate (55 kHz) and a one-dimensional galvanometer mirror, our GM-UV-PAM system can generate subcellular images in less than 15 min for a typical brain biopsy (5mm×5mm), with a lateral resolution of ∼1.0µm. The images of mouse brain slices obtained by our GM-UV-PAM system show that it can provide histological information for SMA.
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Martell MT, Haven NJM, Zemp RJ. Multimodal imaging with spectral-domain optical coherence tomography and photoacoustic remote sensing microscopy. OPTICS LETTERS 2020; 45:4859-4862. [PMID: 32870876 DOI: 10.1364/ol.398940] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We develop a multimodal imaging platform, combining depth-resolved scattering contrast from spectral-domain optical coherence tomography (SD-OCT) with complementary, non-contact absorption contrast using photoacoustic remote sensing (PARS) microscopy. The system provides a widefield OCT mode using a telecentric scan lens, and a high-resolution, dual-contrast mode using a 0.26 numerical aperture apochromatic objective. An interlaced acquisition approach is used to achieve simultaneous, co-registered imaging. The SD-OCT modality provides a 9.7 µm axial resolution. Comprehensive in vivo imaging of a nude mouse ear is demonstrated, with the SD-OCT scattering intensity revealing dermal morphology, and PARS microscopy providing a map of microvasculature.
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Kedarisetti P, Haven NJM, Restall BS, Martell MT, Zemp RJ. Label-free lipid contrast imaging using non-contact near-infrared photoacoustic remote sensing microscopy. OPTICS LETTERS 2020; 45:4559-4562. [PMID: 32797009 DOI: 10.1364/ol.397614] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Histopathology of lipid-rich tissues is often a difficult endeavor, owing to the limited tissue processing workflows that can appropriately preserve tissue while keeping fatty deposits intact. Here, we present the first usage of near-infrared (NIR) photoacoustic remote sensing (PARS) to achieve imaging contrast from lipids without the need for exogenous stains or labels. In our system, the facile production of 1225 nm excitation pulses is achieved by the stimulated Raman scattering of a 1064 nm source propagating through an optical fiber. PARS-based detection is achieved by monitoring the change in the scattering profile of a co-aligned 1550 nm continuous-wave interrogation beam in response to absorption of the 1225 nm light by lipids. Our non-contact, reflection-mode approach can achieve a FWHM resolution of up to 0.96 µm and signal-to-noise ratios as high as 45 dB from carbon fibers and 9.7 dB from a lipid phantom. NIR-PARS offers a promising approach to image lipid-rich samples with a simplified workflow.
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Abbasi S, Le M, Sonier B, Bell K, Dinakaran D, Bigras G, Mackey JR, Haji Reza P. Chromophore selective multi-wavelength photoacoustic remote sensing of unstained human tissues. BIOMEDICAL OPTICS EXPRESS 2019; 10:5461-5469. [PMID: 31799024 PMCID: PMC6865102 DOI: 10.1364/boe.10.005461] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 09/16/2019] [Accepted: 09/20/2019] [Indexed: 05/06/2023]
Abstract
Identifying positive surgical margins after resection of cancer often triggers re-excision and adjuvant treatments. Incomplete initial resections result in poorer patient outcomes, psychological and financial stress to the patient and increased healthcare costs. Surgical margins are typically assessed post-operatively using time consuming and expensive slide-based histopathology tissue analysis. Currently, a real-time non-contact virtual histology-like intraoperative margin assessment tool is not available. To address this need, we have developed a non-contact multi-wavelength reflection-mode, photoacoustic remote sensing (PARS) microscope demonstrating chromophore selective contrast in human tissues. We show the capabilities of multi-wavelength PARS microscopy utilizing both 266 nm and 532 nm excitation wavelengths and a 1310 nm detection wavelength. Cell nuclei and hemoglobin were visualized at the cellular scale without the addition of exogenous contrast agents. These works provide a critical step towards a virtual histology tool to provide intraoperative histology-like information in living tissue.
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Affiliation(s)
- Saad Abbasi
- PhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
- Equal contributions
| | - Martin Le
- PhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
- Equal contributions
| | - Bazil Sonier
- PhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
| | - Kevan Bell
- PhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
- illumiSonics, Inc., Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
| | - Deepak Dinakaran
- illumiSonics, Inc., Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
- Department of Oncology, University of Alberta, Edmonton, Alberta, T6G 2V1, Canada
| | - Gilbert Bigras
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, T6G 2V1, Canada
| | - John R. Mackey
- Department of Oncology, University of Alberta, Edmonton, Alberta, T6G 2V1, Canada
| | - Parsin Haji Reza
- PhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
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