Volume 28 Issue 5 | Journal of Biomedical Optics

Journal of Biomedical Optics

VOL. 28 · NO. 5 | May 2023

CONTENTS

IN THIS ISSUE

Review Papers (1)

General (2)

Imaging (2)

Microscopy (1)

Sensing (3)

< Previous Issue | Next Issue >

Receive Email Alerts

VIEW ALL ABSTRACTS +

Review Papers

Intraoperative molecular imaging: 3rd biennial clinical trials update

Patrick Bou-Samra, Najib Muhammad, Austin Chang, Ritesh Karsalia, Feredun Azari, Gregory Kennedy, Walter Stummer, Janos Tanyi, Linda Martin, Alexander Vahrmeijer, Barbara Smith, Eben Rosenthal, Patrick Wagner, David Rice, Amy Lee, Hafeez Abdelhafeez, Marcus M. Malek, Gary Kohanbash, Wilson Barry Edwards, Eric Henderson, Jane Skjøth-Rasmussen, Ryan Orosco, Summer Gibbs, Richard W. Farnam, Lalitha Shankar, Baran Sumer, Anand T. N. Kumar, Laura Marcu, Lei Li, Viktor Greuv, Edward J. Delikatny, John Y. K. Lee, Sunil Singhal

Journal of Biomedical Optics, Vol. 28, Issue 05, 050901, (May 2023) https://doi.org/10.1117/1.JBO.28.5.050901

TOPICS: Tumors, Surgery, Dyes, Clinical trials, Cancer, Resection, Fluorescence, Cancer detection, Near infrared, Tissues

Read Abstract +

General

Increased fluorescence observation intensity during the photodynamic diagnosis of deeply located tumors by fluorescence photoswitching of protoporphyrin IX

Sochi Ogbonna, William York, Takahiro Nishimura, Hisanao Hazama, Hideo Fukuhara, Keiji Inoue, Kunio Awazu

Journal of Biomedical Optics, Vol. 28, Issue 05, 055001, (May 2023) https://doi.org/10.1117/1.JBO.28.5.055001

TOPICS: Fluorescence, Fluorescence intensity, Photobleaching, Tumors, In vivo imaging, Fluorophores, Tissues, Light emitting diodes, Fluorescence spectroscopy, Oxygen

Read Abstract +

In vivo skin optical clearing efficacy quantification of clinically compatible agents using line-field confocal optical coherence tomography

Sergey M. Zaytsev, Marine Amouroux, Valery V. Tuchin, Elina A. Genina, Walter Blondel

Journal of Biomedical Optics, Vol. 28, Issue 05, 055002, (May 2023) https://doi.org/10.1117/1.JBO.28.5.055002

TOPICS: Skin, Mixtures, In vivo imaging, Optical clearing, Optical coherence tomography, Tissues, Confocal microscopy, 3D image processing, Permeability, Tissue optics

Read Abstract +

Imaging

Imaging the rotational mobility of carbon dot-gold nanoparticle conjugates using frequency domain wide-field time-resolved fluorescence anisotropy

Gilad Yahav, Shweta Pawar, Yitzchak Weber, Bar Atuar, Hamootal Duadi, Dror Fixler

Journal of Biomedical Optics, Vol. 28, Issue 05, 056001, (May 2023) https://doi.org/10.1117/1.JBO.28.5.056001

TOPICS: Cadmium sulfide, Carbon, Gold, Fluorescence, Viscosity, Histograms, Fluorescence lifetime imaging, Biomedical optics, Biological imaging, Fluorescence imaging

Read Abstract +

Significance

Wide-field measurements of time-resolved fluorescence anisotropy (TR-FA) provide pixel-by-pixel information about the rotational mobility of fluorophores, reflecting changes in the local microviscosity and other factors influencing the fluorophore’s diffusional motion. These features offer promising potential in many research fields, including cellular imaging and biochemical sensing, as demonstrated by previous works. Nevertheless, θ imaging is still rarely investigated in general and in carbon dots (CDs) in particular.

Aim

To extend existing frequency domain (FD) fluorescence lifetime (FLT) imaging microscopy (FLIM) to FD TR-FA imaging (TR-FAIM), which produces visual maps of the FLT and θ, together with the steady-state images of fluorescence intensity (FI) and FA (r).

Approach

The proof of concept of the combined FD FLIM/ FD TR-FAIM was validated on seven fluorescein solutions with increasing viscosities and was applied for comprehensive study of two types of CD-gold nano conjugates.

Results

The FLT of fluorescein samples was found to decrease from 4.01 ± 0.01 to 3.56 ± 0.02 ns, whereas both r and θ were significantly increased from 0.053 ± 0.012 to 0.252 ± 0.003 and 0.15 ± 0.05 to 11.25 ± 1.87 ns, respectively. In addition, the attachment of gold to the two CDs resulted in an increase in the FI due to metal-enhanced fluorescence. Moreover, it resulted in an increase of r from 0.100 ± 0.011 to 0.150 ± 0.013 and θ from 0.98 ± 0.13 to 1.65 ± 0.20 ns for the first CDs and from 0.280 ± 0.008 to 0.310 ± 0.004 and 5.55 ± 1.08 to 7.95 ± 0.97 ns for the second CDs. These trends are due to the size increase of the CDs-gold compared to CDs alone. The FLT presented relatively modest changes in CDs.

Conclusions

Through the combined FD FLIM/ FD TR-FAIM, a large variety of information can be probed (FI, FLT, r, and θ). Nevertheless, θ was the most beneficial, either by probing the spatial changes in viscosity or by evident variations in the peak and full width half maximum.

Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery

Mebin B. George, Benjamin Lew, Steven Blair, Zhongmin Zhu, Zuodong Liang, Indrajit Srivastava, Austin Chang, Hyungsoo Choi, Kyekyoon Kim, Shuming Nie, Sunil Singhal, Viktor Gruev

Journal of Biomedical Optics, Vol. 28, Issue 05, 056002, (May 2023) https://doi.org/10.1117/1.JBO.28.5.056002

TOPICS: Near infrared, Tumors, Imaging systems, Endoscopy, Endoscopes, Fluorescence, Cancer detection, Surgery, Light sources and illumination, Spatial resolution

Read Abstract +

Microscopy

Generative adversarial network based digital stain conversion for generating RGB EVG stained image from hyperspectral H&E stained image

Tanwi Biswas, Hiroyuki Suzuki, Masahiro Ishikawa, Naoki Kobayashi, Takashi Obi

Journal of Biomedical Optics, Vol. 28, Issue 05, 056501, (May 2023) https://doi.org/10.1117/1.JBO.28.5.056501

TOPICS: Hyperspectral imaging, RGB color model, Elasticity, Education and training, Tissues, Image quality, Collagen, Digital imaging, Data modeling, Data conversion

Read Abstract +

Significance

Quantification of elastic fiber in the tissue specimen is an important aspect of diagnosing different diseases. Though hematoxylin and eosin (H&E) staining is a routinely used and less expensive tissue staining technique, elastic and collagen fibers cannot be differentiated using it. So, in conventional pathology, special staining technique, such as Verhoeff’s van Gieson (EVG), is applied physically for this purpose. However, the procedure of EVG staining is very expensive and time-consuming.

Aim

The goal of our study is to propose a deep-learning-based computerized method for the generation of RGB EVG stained tissue from hyperspectral H&E stained one to save the time and cost of conventional EVG staining procedure.

Approach

H&E stained hyperspectral image and EVG stained RGB whole slide image of human pancreatic tissue have been leveraged for this experiment. CycleGAN-based deep learning model has been proposed for digital stain conversion while images from source and target domains are of different modalities (hyperspectral and RGB) with different channel dimensions. A set of three basis functions have been introduced for calculating one of the losses of the proposed method, which retains the relevant features of EVG stained image within the reduced channel dimension of the H&E stained one.

Results

The experimental results showed that a set of three basis functions including linear discriminant function and transmittance spectrum of eosin and hematoxylin better retained the essential properties of the elastic fiber to be discriminated from collagen fiber within the reduced dimension of the hyperspectral H&E stained image. Also, only a smaller number of paired training data with our proposed training method contributed significantly to the generation of more realistic EVG stained image with more precise identification of elastic fiber.

Conclusions

RGB EVG stained image is generated from hyperspectral H&E stained image for which our model has performed two types of image conversion simultaneously: hyperspectral to RGB and H&E to EVG. The experimental results show that the intentionally designed set of three basis functions contains more relevant information and prove the effectiveness of our proposed method in generating realistic RGB EVG stained image from hyperspectral H&E stained one.

Sensing

Field programmable gate array compression for large array multispeckle diffuse correlation spectroscopy

Francesco Mattioli Della Rocca, Edbert Sie, Ryan Catoen, Francesco Marsili, Robert Henderson

Journal of Biomedical Optics, Vol. 28, Issue 05, 057001, (May 2023) https://doi.org/10.1117/1.JBO.28.5.057001

TOPICS: Single photon avalanche diodes, Field programmable gate arrays, Cameras, Signal to noise ratio, Photons, Actinium, Autocorrelation, Principal component analysis, Data compression, Diffusers

Read Abstract +

Monitoring the skin structure during edema in vivo with spatially resolved diffuse reflectance spectroscopy

Denis Davydov, Gleb Budylin, Alexey Baev, Daniil Vaypan, Elena Seredenina, Simon Matskeplishvili, Stanislav Evlashin, Armais Kamalov, Evgeny Shirshin

Journal of Biomedical Optics, Vol. 28, Issue 05, 057002, (May 2023) https://doi.org/10.1117/1.JBO.28.5.057002

TOPICS: Skin, Absorption, Water content, In vivo imaging, Diffuse reflectance spectroscopy, Monte Carlo methods, Structural monitoring, Data modeling, Linear regression, Scattering

Read Abstract +

Preclinical evaluation of Raman spectroscopy for pedicular screw insertion surgical guidance in a porcine spine model

Ivan Kosik, Frédérick Dallaire, Layla Pires, Trang Tran, Frédéric Leblond, Brian Wilson

Journal of Biomedical Optics, Vol. 28, Issue 05, 057003, (May 2023) https://doi.org/10.1117/1.JBO.28.5.057003

TOPICS: Tissues, Bone, Raman spectroscopy, Data modeling, Spinal cord, In vivo imaging, Surgery, Education and training, Muscles, Cartilage

Read Abstract +

Significance

Orthopedic surgery is frequently performed but currently lacks consensus and availability of ideal guidance methods, resulting in high variability of outcomes. Misdirected insertion of surgical instruments can lead to weak anchorage and unreliable fixation along with risk to critical structures including the spinal cord. Current methods for surgical guidance using conventional medical imaging are indirect and time-consuming with unclear advantages.

Aim

The purpose of this study was to investigate the potential of intraoperative in situ near-infrared Raman spectroscopy (RS) combined with machine learning in guiding pedicular screw insertion in the spine.

Approach

A portable system equipped with a hand-held RS probe was used to make fingerprint measurements on freshly excised porcine vertebrae, identifying six tissue types: bone, spinal cord, fat, cartilage, ligament, and muscle. Supervised machine learning techniques were used to train—and test on independent hold-out data subsets—a six-class model as well as two-class models engineered to distinguish bone from soft tissue. The two-class models were further tested using in vivo spectral fingerprint measurements made during intra-pedicular drilling in a porcine spine model.

Results

The five-class model achieved >96 % accuracy in distinguish all six tissue classes when applied onto a hold-out testing data subset. The binary classifier detecting bone versus soft tissue (all soft tissue or spinal cord only) yielded 100% accuracy. When applied onto in vivo measurements performed during interpedicular drilling, the soft tissue detection models correctly detected all spinal canal breaches.

Conclusions

We provide a foundation for RS in the orthopedic surgical guidance field. It shows that RS combined with machine learning is a rapid and accurate modality capable of discriminating tissues that are typically encountered in orthopedic procedures, including pedicle screw placement. Future development of integrated RS probes and surgical instruments promises better guidance options for the orthopedic surgeon and better patient outcomes.

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Significance

Aim

Approach

Results

Conclusions

Keywords/Phrases

Search In:

Publication Years