Enhanced quantitative phase imaging in Mach-Zehnder interferometer-based digital holographic microscopy by modulation of the object illumination with an electrically focus tunable lens

Kemper, Björn; Barroso, Álvaro; Eder, Kai; Marzi, Anne; Ritz, Sabrina; Ntovas, Angelos; Schnekenburger, Jürgen; Ketelhut, Steffi

doi:10.1117/12.2592534

Cited by 6 publications

(12 citation statements)

References 4 publications

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“…If the sample has been not imaged sharply in focus during hologram recording optional numerical refocusing can be applied [19]. Enhanced QPI is achieved by subsequently averaging of the retrieved series of quantitative phase images, e.g., for reduction of coherence induced image disturbances or parasitic interference patterns due to internal reflections of the illuminating laser light within the experimental setup [20].…”

Section: Quantitative Phase Imaging With Digital Holographic Microsco...mentioning

confidence: 99%

“…The reconstruction of QPI images (k) is performed automated with a previously reported evaluation procedure that numerically compensates the EFTL induced object wave phase aberrations which are caused during hologram recording [18]. Enhanced QPI is achieved by subsequently averaging (   ) of the retrieved series of quantitative phase images (adapted from [20]).…”

Section: Quantitative Phase Imaging With Digital Holographic Microsco...mentioning

confidence: 99%

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Quantification of inflammation and toxicity-induced effects on living cells and in histological ex vivo tissues utilizing digital holographic phase microscopy

Kemper

2023

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI

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In an overview, digital holographic microscopy (DHM) for usage in a biomedical laboratory environment and the application of DHM-based quantitative phase imaging (QPI) for quantification of inflammation and toxicity related effects in tissue sections, cell cultures and blood cells are presented. First, the capabilities to determine inflammation as well as nanomaterial induced pathological alterations in dissected ex vivo colon and lung tissues are illustrated. Then, results from cell culture-based time-lapse growth monitoring assays and perioperative observation of living primary human leucocytes demonstrate DHM as a cytometric tool for in vitro toxicity testing and temporal disease course characterization.

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Section: Quantitative Phase Imaging With Digital Holographic Microsco...mentioning

confidence: 99%

Section: Quantitative Phase Imaging With Digital Holographic Microsco...mentioning

confidence: 99%

Quantification of inflammation and toxicity-induced effects on living cells and in histological ex vivo tissues utilizing digital holographic phase microscopy

Kemper

2023

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI

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“…Digital off-axis holograms of the specimens were acquired with a complementary metal-oxide semiconductor (CMOS) sensor using different objective lenses with magnifications 20x, 40x (Nikon, Japan), and 63x (Zeiss, Germany). To reduce disturbances in the quantitative phase images, caused by the coherence properties of the laser light, the object wave was modulated in amplitude and phase by an electrically focus tunable lens (EL-10-30, Optotune, Switzerland) [16]. The reconstruction of QPI images from the recorded hologram series was performed automatically with an earlier reported algorithm [17].…”

Section: Sample Preparation and Dhm Setup For Quantitative Phase Imagingmentioning

confidence: 99%

Detection and classification of urine components utilizing quantitative phase imaging and machine learning

Kallass,

Hanna,

Barroso

et al. 2023

Advances in Microscopic Imaging IV

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We explored the capabilities of quantitative phase imaging (QPI) with digital holographic microscopy (DHM) in combination with machine learning (ML) approaches for the characterization and classification of urine sediments. Bright-field images and off-axis holograms of a liquid control for urine analysis were acquired with a modular DHM system. From the retrieved images, particle morphology parameters were extracted by segmentation procedures. In addition, the ability of supervised ML-algorithms to classify and identify urine sediment components based on biophysical parameters was evaluated. The results demonstrate DHM in combination with ML as a prospective tool for urine analysis.

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“…Holograms were captured with a complementary metal-oxide-semiconductor (CMOS) sensor (UI-3260CP-M-GL Rev.2; IDS Imaging Development Systems, Obersulm, Germany). To reduce coherence and pathogen-induced image disturbances, the sample illumination light was modulated by an electrically focused tunable lens (ETL) [47] and a series of digital off-axis holograms were recorded. The holograms were acquired automatically every 3 min over a period of up to 24 h.…”

Section: Digital Holographic Microscopy (Dhm)mentioning

confidence: 99%

“…Quantitative phase images were numerically reconstructed as previously described [48] using custom-built Python 3 based software developed at the Biomedical Technology Center Münster, Germany. After numerical reconstruction, averaged quantitative phase images were calculated from every hologram series that was acquired with modulated object illumination by the ETL [47]. Segmentation of the resulting images and particle analysis of morphological parameters and phase contrast changes was performed using FIJI software [49] (version 2.3.0/1.53f51).…”

Section: Digital Holographic Microscopy (Dhm)mentioning

confidence: 99%

Investigating Morphological Changes of T-lymphocytes after Exposure with Bacterial Determinants for Early Detection of Septic Conditions

et al. 2022

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Sepsis is a leading cause of morbidity and mortality, annually affecting millions of people worldwide. Immediate treatment initiation is crucial to improve the outcome but despite great progress, early identification of septic patients remains a challenge. Recently, white blood cell morphology was proposed as a new biomarker for sepsis diagnosis. In this proof-of-concept study, we aimed to investigate the effect of different bacteria and their determinants on T-lymphocytes by digital holographic microscopy (DHM). We hypothesize that species- and strain-specific morphological changes occur, which may offer a new approach for early sepsis diagnosis and identification of the causative agent. Jurkat cells as a model system were exposed to different S. aureus or E. coli strains either using sterile determinants or living bacteria. Time-lapse DHM was applied to analyze cellular morphological changes. There were not only living bacteria but also membrane vesicles and sterile culture supernatant-induced changes of cell area, circularity, and mean phase contrast. Interestingly, different cellular responses occurred depending on both the species and strain of the causative bacteria. Our findings suggest that investigation of T-lymphocyte morphology might provide a promising tool for the early identification of bacterial infections and possibly discrimination between different causative agents. Distinguishing gram-positive from gram-negative infection would already offer a great benefit for the proper administration of antibiotics.

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Enhanced quantitative phase imaging in Mach-Zehnder interferometer-based digital holographic microscopy by modulation of the object illumination with an electrically focus tunable lens

Cited by 6 publications

References 4 publications

Quantification of inflammation and toxicity-induced effects on living cells and in histological ex vivo tissues utilizing digital holographic phase microscopy

Quantification of inflammation and toxicity-induced effects on living cells and in histological ex vivo tissues utilizing digital holographic phase microscopy

Detection and classification of urine components utilizing quantitative phase imaging and machine learning

Investigating Morphological Changes of T-lymphocytes after Exposure with Bacterial Determinants for Early Detection of Septic Conditions

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