Dr. Manu Jain Profile

Dr. Manu Jain

Optical Imaging Specialist at Memorial Sloan-Kettering Cancer Ctr

SPIE Involvement:

Conference Program Committee | Author

Publications (18)

Proceedings Article | 13 March 2024 Presentation + Paper

3D reconstruction and artificial intelligence algorithms for the detection and tumor depth measurement of basal cell carcinoma in RCM-OCT images: a pilot study

Alexander Pan, Nathalie de Carvalho, Luisa Silva, Ucalene Harris, Stephen Dusza, Aditi Sahu, Kivanc Kose, Jilliana Monnier, Chih-Shan Chen, Manu Jain

Proceedings Volume 12816, 128160B (2024) https://doi.org/10.1117/12.3008592

KEYWORDS: Optical coherence tomography, Artificial intelligence, Raster graphics, Tumors, 3D modeling, Cancer detection, Tunable filters, Education and training, Tumor growth modeling, Diagnostics

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Proceedings Article | 17 March 2023 Presentation

Effects of formalin fixation on ex vivo confocal microscopy imaging

Julia Kahn, Ucalene Harris, Anna Vaeth, Anthony Rossi, Manu Jain

Proceedings Volume PC12352, PC1235202 (2023) https://doi.org/10.1117/12.2651961

KEYWORDS: Tissues, Confocal microscopy, Skin, Tumors, Visualization, Reflectivity, Luminescence, Image resolution, Image processing, Biopsy

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Proceedings Article | 7 March 2022 Presentation

Noninvasive characterization of cutaneous metastases using a novel multimodal RCM-OCT imaging device

Alexander Bang, Jilliana Monnier, Ucalene Harris, Jason Garfinkel, Gennady Rubinstein, Nicusor Iftimia, Melissa Pulitzer, Melissa Murray, Mario Lacouture, Manu Jain

Proceedings Volume PC11934, PC119340B (2022) https://doi.org/10.1117/12.2606921

KEYWORDS: Optical coherence tomography, Imaging devices, Tumors, Breast cancer, Reflectivity, Confocal microscopy, Biopsy, 3D image processing

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Proceedings Article | 7 March 2022 Presentation

Kidney cancer diagnosis using deep learning

Andrew Cheng, Michael Icaza, Nicholas Judd, Jason Smith, Sushmita Mukherjee, Manu Jain, Binlin Wu

Proceedings Volume PC11954, PC119540E (2022) https://doi.org/10.1117/12.2610117

KEYWORDS: Kidney, Tumors, Cancer, Image classification, Visual process modeling, Tumor growth modeling, Data modeling, Receivers, Performance modeling, Multiphoton microscopy

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Proceedings Article | 7 March 2022 Presentation

PARP1 as a biomarker towards in vivo multimodal melanoma diagnosis

Aditi Sahu, Ucalene Harris, Melissa Gill, Cecelia Lezcano, Allan Halpern, Anthony Rossi, Klaus Busam, Thomas Reiner, Ashfaq Marghoob, Manu Jain, Milind Rajadhyaksha

Proceedings Volume PC11943, PC1194309 (2022) https://doi.org/10.1117/12.2610476

KEYWORDS: Melanoma, In vivo imaging, Molecular imaging, Tumors, Skin cancer, Reflectivity, Confocal microscopy, Cancer

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Proceedings Article | 7 March 2022 Presentation

Initial testing of machine learning-based imaging of pigmented skin lesions with reflectance confocal microscopy in a clinical setting

Kentley Jonathan, Miguel Cordova, Nicholas Kurtansky, Manu Jain, Veronica Rotemberg, Kivanc Kose, Milind Rajadhyaksha

Proceedings Volume PC11934, PC119340G (2022) https://doi.org/10.1117/12.2609873

KEYWORDS: Skin, Reflectivity, Confocal microscopy, Detection and tracking algorithms, Melanoma, Machine learning, Image acquisition, Biopsy, Algorithm development, Image segmentation

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Proceedings Article | 5 March 2021 Presentation

Deep learning-based denoising in spectrally-encoded confocal microscopy

Jingwei Zhao, Manu Jain, Ucalene Harris, Kivanc Kose, Clara Curiel-Lewandrowski, Dongkyun Kang

Proceedings Volume 11620, 1162004 (2021) https://doi.org/10.1117/12.2577321

KEYWORDS: Confocal microscopy, Signal to noise ratio, Denoising, Skin, CMOS sensors, Microscopy, Microscopes, Interference (communication), Image restoration

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Proceedings Article | 5 March 2021 Presentation + Paper

Quantitative collagen analysis for the detection of basal cell carcinoma with ex vivo multiphoton microscopy

Mercedes Sendín-Martín, Jasmine Posner, Ucalene Harris, Milind Rajadhyaksha, Kivanc Kose, Manu Jain

Proceedings Volume 11618, 116180W (2021) https://doi.org/10.1117/12.2578776

KEYWORDS: Collagen, Multiphoton microscopy, Tissues, Statistical analysis, Skin, Second-harmonic generation, Image analysis, Biopsy, Tumors, Skin cancer

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Proceedings Article | 4 March 2019 Paper

Distinguish chromophobe renal cell carcinoma and renal oncocytoma based on analysis of multiphoton microscopic images using convolutional neural network

Michael Icaza, Nicolas Judd, Manu Jain, Sushmita Mukherjee, Binlin Wu

Proceedings Volume 10873, 1087315 (2019) https://doi.org/10.1117/12.2509133

KEYWORDS: Convolutional neural networks, Tumor growth modeling, Image classification, Second-harmonic generation, Tumors, Image fusion, Collagen, Tissues, Performance modeling, 3D image processing

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Proceedings Article | 21 February 2018 Paper

A pilot study for distinguishing chromophobe renal cell carcinoma and oncocytoma using second harmonic generation imaging and convolutional neural network analysis of collagen fibrillar structure

Nicolas Judd, Jason Smith, Manu Jain, Sushmita Mukherjee, Michael Icaza, Ryan Gallagher, Richard Szeligowski, Binlin Wu

Proceedings Volume 10489, 1048919 (2018) https://doi.org/10.1117/12.2288088

KEYWORDS: Tumors, Collagen, Image processing, Neurons, Data modeling, Kidney, Tumor growth modeling, Digital filtering, Image filtering, Second-harmonic generation

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Proceedings Article | 24 April 2017 Presentation

In vivo features of melanocytic lesions: multimode hyperspectral dermoscopy, reflectance confocal microscopy, and histopathologic correlates (Conference Presentation)

Fartash Vasefi, Nicholas MacKinnon, Manu Jain, Miguel Cordova, Kivanc Kose, Milind Rajadhyaksha, Allan Halpern, Daniel Farkas

Proceedings Volume 10068, 100680G (2017) https://doi.org/10.1117/12.2261499

KEYWORDS: Skin, In vivo imaging, Melanoma, Reflectivity, Confocal microscopy, Diagnostics, Standards development, Imaging systems, 3D image processing, Cancer

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Proceedings Article | 24 March 2017 Presentation + Paper

The bedside diagnostic accuracy of a novice reflectance confocal microscopy reader for skin cancer detection in vivo in real-time: understanding challenges and potential pitfalls

Manu Jain, Sri Varsha Pulijal, Milind Rajadhyaksha

Proceedings Volume 10060, 1006002 (2017) https://doi.org/10.1117/12.2255685

KEYWORDS: Tumors, Melanoma, Skin, In vivo imaging, Reflectivity, Confocal microscopy, Diagnostics, Skin cancer, Raman spectroscopy, Imaging devices

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Reflectance confocal microscopy (RCM) is a non-invasive device that images skin lesions in vivo at a cellular resolution to guide management of patient care. While previous studies have demonstrated high accuracy of RCM in diagnosing skin cancers, most of these studies were performed by experts as a blinded analysis off-site and does not reflect true clinical scenario. We assessed the diagnostic potential of a novice RCM reader, in clinical settings, at the bedside. Over a period of 15 months (August 2015- November 2016), 168 lesions (from 128 cases) were imaged with RCM to determine BCC and or melanoma in dermoscopically equivocal lesions. To evaluate the learning curve of the novice reader, diagnostic accuracy was evaluated at the end of 15 months, as well as during the first half (8 months) and latter half (seven months) of the study. Histopathological diagnosis was available in 95/168 lesions, including 38 melanocytic lesions (ML: 13 melanomas and 25 nevi) and 57 non-melanocytic lesions (NML: 26 BCCs, 4 SCCs and 27 benign). The remaining 73/168 lesions (43.45%) were not biopsied (received topical treatment, monitoring). On RCM, 22/26 (84.61%) BCCs and 11/13 (84.61%) melanomas were correctly diagnosed. BCC was missed in 3/26 (11.53%) lesions and melanoma in 2/13 (15.38%) lesions; these lesions were diagnosed mostly as superficial BCCs and focal epidermal changes overlying deeply situated melanoma nodule on histopathology, respectively. False positive diagnosis of BCC was obtained in 6/52 (11.54%) benign lesions and of melanoma in 2/52 (3.85%) lesions; these were diagnosed mostly as benign inflamed keratosis and moderately atypical dysplastic nevus on histopathology, respectively. In 6 lesions BCC or melanoma could not be ruled out. An increase in the sensitivity and specificity was noticed between the two halves of the study. A high sensitivity and specificity of 83.33% and 76.60%, respectively in diagnosing skin cancers was obtained. Based on this study, we identified some current limitations and potential pitfalls of RCM. The fact that the diagnostic accuracy of the novice reader increased with time, indicates a learning curve reading RCM images. Additionally, current technical limitations of RCM such as inability to differentiate various cell types, sampling error, and, shallow depth of imaging also lead to false diagnosis. Efforts are ongoing to overcome these challenges by building US based teachingtraining program and through a multimodal imaging approach for better diagnosis and patient care.

SPIE Journal Paper | 15 February 2017 Open Access

Implementation of fluorescence confocal mosaicking microscopy by “early adopter” Mohs surgeons and dermatologists: recent progress

Manu Jain, Milind Rajadhyaksha, Kishwer Nehal

JBO, Vol. 22, Issue 02, 024002, (February 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.2.024002

KEYWORDS: Confocal microscopy, Tumors, Tissues, Luminescence, Mohs surgery, Microscopy, Surgery, Reflectivity, Skin, Melanoma

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Proceedings Article | 27 April 2016 Paper

A new method using multiphoton imaging and morphometric analysis for differentiating chromophobe renal cell carcinoma and oncocytoma kidney tumors

Binlin Wu, Sushmita Mukherjee, Manu Jain

Proceedings Volume 9712, 97121O (2016) https://doi.org/10.1117/12.2213681

KEYWORDS: Kidney, Tissue optics, Tissues, Luminescence, Image resolution, Tumors, Image classification, Second-harmonic generation, Feature selection, Diagnostics

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Proceedings Article | 7 March 2016 Presentation + Paper

Ex vivo applications of multiphoton microscopy in urology

Manu Jain, Sushmita Mukherjee

Proceedings Volume 9703, 97030I (2016) https://doi.org/10.1117/12.2211101

KEYWORDS: Tissues, Multiphoton microscopy, Biopsy, Surgery, Bladder, Kidney, Tumors, Diagnostics, Collagen, Second-harmonic generation

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Background: Routine urological surgery frequently requires rapid on-site histopathological tissue evaluation either during biopsy or intra-operative procedure. However, resected tissue needs to undergo processing, which is not only time consuming but may also create artifacts hindering real-time tissue assessment. Likewise, pathologist often relies on several ancillary methods, in addition to H&E to arrive at a definitive diagnosis. Although, helpful these techniques are tedious and time consuming and often show overlapping results. Therefore, there is a need for an imaging tool that can rapidly assess tissue in real-time at cellular level. Multiphoton microscopy (MPM) is one such technique that can generate histology-quality images from fresh and fixed tissue solely based on their intrinsic autofluorescence emission, without the need for tissue processing or staining.

Design: Fresh tissue sections (neoplastic and non-neoplastic) from biopsy and surgical specimens of bladder and kidney were obtained. Unstained deparaffinized slides from biopsy of medical kidney disease and oncocytic renal neoplasms were also obtained. MPM images were acquired using with an Olympus FluoView FV1000MPE system. After imaging, fresh tissues were submitted for routine histopathology.

Results: Based on the architectural and cellular details of the tissue, MPM could characterize normal components of bladder and kidney. Neoplastic tissue could be differentiated from non-neoplastic tissue and could be further classified as per histopathological convention. Some of the tumors had unique MPM signatures not otherwise seen on H&E sections. Various subtypes of glomerular lesions were identified as well as renal oncocytic neoplasms were differentiated on unstained deparaffinized slides.

Conclusions: We envision MPM to become an integral part of regular diagnostic workflow for rapid assessment of tissue. MPM can be used to evaluate the adequacy of biopsies and triage tissues for ancillary studies. It can also be used as an adjunct to frozen section analysis for intra-operative margin assessment. Further, it can play an important role for pathologist for guiding specimen grossing, selecting tissue for tumor banking and as a rapid ancillary diagnostic tool.

Proceedings Article | 7 March 2016 Presentation + Paper

Implementation of fluorescence confocal mosaicing microscopy by "early adopter" Mohs surgeons: a review of recent progress

Manu Jain, Milind Rajadhyaksha, Kishwer Nehal

Proceedings Volume 9703, 97030P (2016) https://doi.org/10.1117/12.2211825

KEYWORDS: Mohs surgery, Confocal microscopy, Microscopy, Surgery, Confocal fluorescent microscopy, Luminescence, Standards development, Pathology, Tissues, Tumors, Reflectivity, Melanoma, Biopsy

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