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Joshi H, Singh BP, Butola A, Surya V, Mishra D, Agarwal K, Mehta DS. Compact Linnik-type hyperspectral quantitative phase microscope for advanced classification of cellular components. JOURNAL OF BIOPHOTONICS 2024:e202400088. [PMID: 38899690 DOI: 10.1002/jbio.202400088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/14/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024]
Abstract
Hyperspectral quantitative phase microscopy (HS-QPM) involves the acquisition of phase images across narrow spectral bands, which enables wavelength-dependent study of different biological samples. In the present work, a compact Linnik-type HS-QPM system is developed to reduce the instability and complexity associated with conventional HS-QPM techniques. The use of a single objective lens for both reference and sample arms makes the setup compact. The capabilities of the system are demonstrated by evaluating the HS phase map of both industrial and biological specimens. Phase maps of exfoliated cheek cells at different wavelengths are stacked to form a HS phase cube, adding spectral dimensionality to spatial phase distribution. Analysis of wavelength response of different cellular components are performed using principal component analysis to identify dominant spectral features present in the HS phase dataset. Findings of the study emphasize on the efficiency and effectiveness of HS-QPM for advancing cellular characterization in biomedical research and clinical applications.
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Affiliation(s)
- Himanshu Joshi
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi, India
| | - Bhanu Pratap Singh
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi, India
| | - Ankit Butola
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Varun Surya
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Deepika Mishra
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Krishna Agarwal
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Dalip Singh Mehta
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi, India
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Thapa P, Singh V, Bhatt S, Maurya K, Kumar V, Nayyar V, Jot K, Mishra D, Shrivastava A, Mehta DS. Multimodal fluorescence imaging and spectroscopic techniques for oral cancer screening: a real-time approach. Methods Appl Fluoresc 2023; 11:045008. [PMID: 37666247 DOI: 10.1088/2050-6120/acf6ac] [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: 12/01/2022] [Accepted: 09/04/2023] [Indexed: 09/06/2023]
Abstract
The survival rate of oral squamous cell carcinoma (OSCC) patients is very poor, but it can be improved using highly sensitive, specific, and accurate techniques. Autofluorescence and fluorescence techniques are very sensitive and helpful in cancer screening; being directly linked with the molecular levels of human tissue, they can be used as a quantitative tool for cancer detection. Here, we report the development of multi-modal autofluorescence and fluorescence imaging and spectroscopic (MAF-IS) smartphone-based systems for fast and real-time oral cancer screening. MAF-IS system is indigenously developed and offers the advantages of being a low-cost, handy, non-contact, non-invasive, and easily operable device that can be employed in hospitals, including low-resource settings. In this study, we report the results of 43 individuals with 28 OSCC and 15 oral potentially malignant disorders (OPMDs), i.e., epithelial dysplasia and oral submucous fibrosis, using the developed devices. We observed a red shift in fluorescence emission spectrain vivo. We found red-shift of 7.72 ± 6 nm, 3 ± 4.36 nm, and 1.33 ± 0.47 nm in the case of OSCC, epithelial dysplasia, and oral submucous fibrosis, respectively, compared to normal. The results were compared with histopathology and found to be consistent. Further, the MAF-IS system provides results in real-time with higher accuracy and sensitivity compared to devices using a single modality. Our system can achieve an accuracy of 97% with sensitivity and specificity of 100% and 94.7%, respectively, even with a smaller number of patients (28 patients of OSCC). The proposed MAF-IS device has great potential for fast screening and diagnosis of oral cancer in the future.
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Affiliation(s)
- Pramila Thapa
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India
| | - Veena Singh
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India
| | - Sunil Bhatt
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India
| | - Kiran Maurya
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi 110029, India
| | - Virendra Kumar
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India
| | - Vivek Nayyar
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi 110029, India
| | - Kiran Jot
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi 110029, India
| | - Deepika Mishra
- Department of Oral Pathology and Microbiology, Center for Dental Education & Research, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi 110029, India
| | - Anurag Shrivastava
- Department of Surgical Disciplines, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi 110029, India
| | - Dalip Singh Mehta
- Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Hauz-Khas, New Delhi 110016, India
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Bhatt S, Butola A, Kumar A, Thapa P, Joshi A, Jadhav S, Singh N, Prasad DK, Agarwal K, Mehta DS. Single-shot multispectral quantitative phase imaging of biological samples using deep learning. APPLIED OPTICS 2023; 62:3989-3999. [PMID: 37706710 DOI: 10.1364/ao.482788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/18/2023] [Indexed: 09/15/2023]
Abstract
Multispectral quantitative phase imaging (MS-QPI) is a high-contrast label-free technique for morphological imaging of the specimens. The aim of the present study is to extract spectral dependent quantitative information in single-shot using a highly spatially sensitive digital holographic microscope assisted by a deep neural network. There are three different wavelengths used in our method: λ=532, 633, and 808 nm. The first step is to get the interferometric data for each wavelength. The acquired datasets are used to train a generative adversarial network to generate multispectral (MS) quantitative phase maps from a single input interferogram. The network was trained and validated on two different samples: the optical waveguide and MG63 osteosarcoma cells. Validation of the present approach is performed by comparing the predicted MS phase maps with numerically reconstructed (F T+T I E) phase maps and quantifying with different image quality assessment metrices.
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Thapa P, Singh V, Gupta K, Shrivastava A, Kumar V, Kataria K, Mishra PR, Mehta DS. Point-of-care devices based on fluorescence imaging and spectroscopy for tumor margin detection during breast cancer surgery: Towards breast conservation treatment. Lasers Surg Med 2023; 55:423-436. [PMID: 36884000 DOI: 10.1002/lsm.23651] [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: 04/06/2022] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/09/2023]
Abstract
OBJECTIVE Fluorescence-based methods are highly specific and sensitive and have potential in breast cancer detection. Simultaneous fluorescence imaging and spectroscopy during intraoperative procedures of breast cancer have great advantages in detection of tumor margin as well as in classification of tumor to healthy tissues. Intra-operative real-time confirmation of breast cancer tumor margin is the aim of surgeons, and therefore, there is an urgent need for such techniques and devices which fulfill the surgeon's priorities. METHODS In this article, we propose the development of fluorescence-based smartphone imaging and spectroscopic point-of-care multi-modal devices for detection of invasive ductal carcinoma in tumor margin during removal of tumor. These multimodal devices are portable, cost-effective, noninvasive, and user-friendly. Molecular level sensitivity of fluorescence process shows different behavior in normal, cancerous and marginal tissues. We observed significant spectral changes, such as, red-shift, full-width half maximum (FWHM), and increased intensity as we go towards tumor center from normal tissue. High contrast in fluorescence images and spectra are also recorded for cancer tissues compared to healthy tissues. Preliminary results for the initial trial of the devices are reported in this article. RESULTS A total 44 spectra from 11 patients of invasive ductal carcinoma (11 spectra for invasive ductal carcinoma and rest are normal and negative margins) are used. Principle component analysis is used for the classification of invasive ductal carcinoma with an accuracy of 93%, specificity of 75% and sensitivity of 92.8%. We obtained an average 6.17 ± 1.66 nm red shift for IDC with respect to normal tissue. The red shift and maximum fluorescence intensity indicates p < 0.01. These results described here are supported by histopathological examination of the same sample. CONCLUSION In the present manuscript, simultaneous fluorescence-based imaging and spectroscopy is accomplished for the classification of IDC tissues and breast cancer margin detection.
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Affiliation(s)
- Pramila Thapa
- Department of Physics, Bio-photonics and Green-photonics Laboratory, Indian Institute of Technology Delhi, New Delhi, India
| | - Veena Singh
- Department of Physics, Bio-photonics and Green-photonics Laboratory, Indian Institute of Technology Delhi, New Delhi, India
| | - Komal Gupta
- Department of Surgical Disciplines, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Anurag Shrivastava
- Department of Surgical Disciplines, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Virendra Kumar
- Department of Physics, Bio-photonics and Green-photonics Laboratory, Indian Institute of Technology Delhi, New Delhi, India
| | - Kamal Kataria
- Department of Surgical Disciplines, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Piyush R Mishra
- Department of Surgical Disciplines, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Dalip S Mehta
- Department of Physics, Bio-photonics and Green-photonics Laboratory, Indian Institute of Technology Delhi, New Delhi, India
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Butola A, Coucheron DA, Szafranska K, Ahmad A, Mao H, Tinguely JC, McCourt P, Senthilkumaran P, Mehta DS, Agarwal K, Ahluwalia BS. Multimodal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells. Proc Natl Acad Sci U S A 2021; 118:e2115323118. [PMID: 34782474 PMCID: PMC8617407 DOI: 10.1073/pnas.2115323118] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2021] [Indexed: 12/26/2022] Open
Abstract
Visualization of three-dimensional (3D) morphological changes in the subcellular structures of a biological specimen is a major challenge in life science. Here, we present an integrated chip-based optical nanoscopy combined with quantitative phase microscopy (QPM) to obtain 3D morphology of liver sinusoidal endothelial cells (LSEC). LSEC have unique morphology with small nanopores (50-300 nm in diameter) in the plasma membrane, called fenestrations. The fenestrations are grouped in discrete clusters, which are around 100 to 200 nm thick. Thus, imaging and quantification of fenestrations and sieve plate thickness require resolution and sensitivity of sub-100 nm along both the lateral and the axial directions, respectively. In chip-based nanoscopy, the optical waveguides are used both for hosting and illuminating the sample. The fluorescence signal is captured by an upright microscope, which is converted into a Linnik-type interferometer to sequentially acquire both superresolved images and phase information of the sample. The multimodal microscope provided an estimate of the fenestration diameter of 119 ± 53 nm and average thickness of the sieve plates of 136.6 ± 42.4 nm, assuming the constant refractive index of cell membrane to be 1.38. Further, LSEC were treated with cytochalasin B to demonstrate the possibility of precise detection in the cell height. The mean phase value of the fenestrated area in normal and treated cells was found to be 161 ± 50 mrad and 109 ± 49 mrad, respectively. The proposed multimodal technique offers nanoscale visualization of both the lateral size and the thickness map, which would be of broader interest in the fields of cell biology and bioimaging.
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Affiliation(s)
- Ankit Butola
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
- Bio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - David A Coucheron
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
| | - Karolina Szafranska
- Faculty of Health Sciences, Department of Medical Biology, Vascular Biology Research Group, UiT The Arctic University of Norway, Tromsø 9037, Norway
| | - Azeem Ahmad
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
| | - Hong Mao
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
| | - Jean-Claude Tinguely
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
| | - Peter McCourt
- Faculty of Health Sciences, Department of Medical Biology, Vascular Biology Research Group, UiT The Arctic University of Norway, Tromsø 9037, Norway
| | - Paramasivam Senthilkumaran
- Bio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Dalip Singh Mehta
- Bio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Krishna Agarwal
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway
| | - Balpreet Singh Ahluwalia
- Department of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway;
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 17177 Stockholm, Sweden
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