Dr. Ashkan Ojaghi Profile

Dr. Ashkan Ojaghi

Hardware Engineer at Apple Inc

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Publications (11)

Proceedings Article | 2 March 2022 Presentation + Paper

Label-free hematological assessment of neutropenia using a microfluidic device and deep-UV microscopy

Ashkan Ojaghi, Viswanath Gorti, Francisco Robles

Proceedings Volume 11968, 1196803 (2022) https://doi.org/10.1117/12.2607988

KEYWORDS: Blood, Microfluidics, Deep ultraviolet, Microscopy, Ultraviolet radiation, Cancer, Absorption, Point-of-care devices, Manufacturing, Spectroscopes

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SPIE Journal Paper | 10 August 2021 Open Access

Hemoglobin quantification in red blood cells via dry mass mapping based on UV absorption

Nischita Kaza, Ashkan Ojaghi, Francisco Robles

JBO, Vol. 26, Issue 08, 086501, (August 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.8.086501

KEYWORDS: Ultraviolet radiation, Blood, Absorption, Microscopy, Proteins, Imaging systems, Hematology, Phase measurement, Interferometry, Deep ultraviolet

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Proceedings Article | 5 March 2021 Presentation + Paper

Label-free multi-spectral deep UV imaging of prostate cancer tissue

Soheil Soltani, Ashkan Ojaghi, Adeboye Osunkoya, Francisco Robles

Proceedings Volume 11655, 116550H (2021) https://doi.org/10.1117/12.2579891

KEYWORDS: Tissues, Prostate cancer, Deep ultraviolet, Cancer, Visualization, Spatial resolution, Quantitative analysis, Proteins, Principal component analysis, Pathology

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Prostate cancer is the most common non-cutaneous cancer in men. Moreover, identifying the most effective treatment strategy for an individual with prostate cancer strongly depends on the Gleason score (Grade group) of the disease. However, this task continues to be a significant clinical challenge in a subset of patients. Currently, the gold standard for grading prostate cancer is the Pathologist’s visual assessment of hematoxylin-and-eosin-stained histological sections, and designation of a Gleason score (Grade group) based on the top two most common Gleason grades. However, this process is subjective and thus prone to error and high variability, especially amongst non-Urologic Pathologists or those who are not aware of recent modifications to the grading system. In addition, variations in protocols for staining, could make quantitative analysis of stained tissues challenging in some cases. Therefore, there is a significant clinical need to develop additional complementary quantitative methods that can provide robust, objective, reproducible, and accurate information of the aggressiveness and grade of prostate cancer. Here we address this issue by imaging unstained tissue sections using multi-spectral deep-UV microscopy. This method enables us to obtain valuable quantitative insight into the aggressiveness and grade of the disease due to its subcellular spatial resolution and high sensitivity to many endogenous biomolecules, including nucleic acid and proteins. The approach uses a simple, fast and cost effective wide-field imaging configuration that is well-suited for pathology applications. Spectral signatures form wavelengths ranging from 220 nm to 450 nm are analyzed using a geometrical representation of principal component analysis. Our results reveal distinct morphological and molecular alterations in tissue as they progress from benign to cancerous, and as they become more aggressive (higher grade). In this research project, we delineated the design of the multispectral, deep UV microscope and described our quantitative and qualitative image analysis. Our results show that multispectral deep UV microscopy provides a quantitative measure to differentiate between prostate cancer patients with varying grades of cancer.

Proceedings Article | 5 March 2021 Presentation + Paper

Application of deep-ultraviolet microscopy in hematological assessment of neutropenia

Ashkan Ojaghi, Paloma Casteleiro Costa, Francisco Robles

Proceedings Volume 11651, 116510O (2021) https://doi.org/10.1117/12.2576929

KEYWORDS: Microscopy, Deep ultraviolet, Blood, Point-of-care devices, Optical inspection, Cancer, Ultraviolet radiation, Statistical analysis, Hematology

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Proceedings Article | 5 March 2021 Presentation + Paper

Deep learning-based virtual staining of label-free ultraviolet (UV) microscopy images for hematological analysis

Nischita Kaza, Ashkan Ojaghi, Paloma Casteleiro Costa, Francisco Robles

Proceedings Volume 11655, 116550C (2021) https://doi.org/10.1117/12.2576429

KEYWORDS: Ultraviolet radiation, Microscopy, Image segmentation, Image analysis, Blood, Biological research, Hematology, Gallium nitride, Diagnostics, Deep ultraviolet

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Proceedings Article | 17 February 2020 Presentation + Paper

Deep UV microscopy of prostate cancer tissue

Soheil Soltani, Ashkan Ojaghi, Atsutse Kludze, Francisco Robles

Proceedings Volume 11243, 1124317 (2020) https://doi.org/10.1117/12.2546200

KEYWORDS: Prostate cancer, Tissues, Deep ultraviolet, Microscopy, Ultraviolet radiation, Cancer, Spherical lenses, Spatial resolution, Proteins, Principal component analysis

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Proceedings Article | 14 February 2020 Paper

Deep-ultraviolet microscopy for label-free hematological analysis

Ashkan Ojaghi, Francisco Robles

Proceedings Volume 11247, 112470B (2020) https://doi.org/10.1117/12.2544999

KEYWORDS: Blood, Deep ultraviolet, Ultraviolet radiation, Microscopy, Point-of-care devices, Hematology, Proteins, Visualization, Statistical analysis, Feature extraction

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Proceedings Article | 4 March 2019 Paper

Ultraviolet multi-spectral microscopy using iterative phase-recovery from chromatic aberrations

Ashkan Ojaghi, Francisco Robles

Proceedings Volume 10887, 108870M (2019) https://doi.org/10.1117/12.2508972

KEYWORDS: Ultraviolet radiation, Microscopy, Blood, Chromatic aberrations, Deep ultraviolet, Interferometry, Computer simulations, Statistical analysis, Absorption, Phase measurement

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Proceedings Article | 20 February 2019 Paper

Label-free identification of neutropenia using deep-ultraviolet microscopy

Ashkan Ojaghi, Francisco Robles

Proceedings Volume 10885, 108850C (2019) https://doi.org/10.1117/12.2508899

KEYWORDS: Blood, Deep ultraviolet, Microscopy, Proteins, Ultraviolet radiation, Absorption, Cancer, Image classification, Point-of-care devices, Image segmentation

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SPIE Journal Paper | 8 September 2016 Open Access

First step toward translation of thermophotonic lock-in imaging to dentistry as an early caries detection technology

Ashkan Ojaghi, Artur Parkhimchyk, Nima Tabatabaei

JBO, Vol. 21, Issue 09, 096003, (September 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.9.096003

KEYWORDS: Dental caries, Long wavelength infrared, Thermography, Diagnostics, Cameras, Mid-IR, Dentistry, Imaging systems, Infrared imaging, Modulation

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Proceedings Article | 29 February 2016 Paper

A pilot study on the detection of early proximal and occlusal dental caries using long-wave infrared thermophotonic imaging

Ashkan Ojaghi, Artur Parkhimchyk, Nima Tabatabaei

Proceedings Volume 9692, 969209 (2016) https://doi.org/10.1117/12.2212987

KEYWORDS: Long wavelength infrared, Thermography, Infrared detectors, Infrared radiation, Teeth, Diagnostics, Optical inspection, Sensors, Thermal effects, Dental caries, Cameras, Modulation

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Showing 5 of 11 publications

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