Thomas Bücher’s research while affiliated with University of Wuppertal and other places

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Publications (5)


A 300 GHz x9 Multiplier Chain With 9.6 dBm Output Power in 0.13-μm SiGe Technology
  • Conference Paper

January 2024

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16 Reads

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5 Citations

Arjith Chandra Prabhu

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Philipp Hillger

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Schematic of the acquisition system. Drawn on SolidWorks 2020 SP3, www.solidworks.com.
Sample TS#2. (i) Pathology image and correlated view of the respective zones (a,b,c,d); (ii) pathology mask; (iii) raw terahertz image at 550-GHz; (iv) refractive index map at 550-GHz.
Left: receiver operating characteristic for the different classification methods, at 550-GHz applied to TS#2. The black line stands for TPR=FPR\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$TPR = FPR$$\end{document}. Right: refractive index threshold as a function of the TPR-FPR\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$TPR - FPR$$\end{document} measure for the different classifiers.
TS#2 tissue sample classification maps at 550-GHz for Λ0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Lambda ^0$$\end{document}, Λ1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Lambda ^1$$\end{document}, Λ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Lambda ^2$$\end{document}, Λ3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Lambda ^3$$\end{document} and their respective first two best thresholds. “Not applicable” refers to regions where the binary pathology classification and the binary terahertz classification image do not match spatially. The values listed in each box are respectively standing for the refractive index threshold, the true positive rate and the false positive rate.
Sample TS#3. (i) Pathology image and correlated view of the respective zones (a,b,c,d); (ii) pathology mask; (iii) raw terahertz image at 550-GHz; (iv) refractive index map at 550-GHz.

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Terahertz refractive index-based morphological dilation for breast carcinoma delineation
  • Article
  • Full-text available

March 2021

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189 Reads

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30 Citations

This paper reports investigations led on the combination of the refractive index and morphological dilation to enhance performances towards breast tumour margin delineation during conserving surgeries. The refractive index map of invasive ductal and lobular carcinomas were constructed from an inverse electromagnetic problem. Morphological dilation combined with refractive index thresholding was conducted to classify the tissue regions as malignant or benign. A histology routine was conducted to evaluate the performances of various dilation geometries associated with different thresholds. It was found that the combination of a wide structuring element and high refractive index was improving the correctness of tissue classification in comparison to other configurations or without dilation. The method reports a sensitivity of around 80% and a specificity of 82% for the best case. These results indicate that combining the fundamental optical properties of tissues denoted by their refractive index with morphological dilation may open routes to define supporting procedures during breast-conserving surgeries.

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A 210-291-GHz (8x) Frequency Multiplier Chain With Low Power Consumption in 0.13-μm SiGe

April 2020

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48 Reads

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15 Citations

IEEE Microwave and Wireless Components Letters

This letter presents a 210–291-GHz 8×8\times multiplier chain in the 0.13- μm\mu \text{m} SiGe Bipolar CMOS (BiCMOS) technology for the broadband generation of carrier signals, imaging, and spectroscopy. It consists of three cascaded Gilbert-cell doublers with compact input matching networks to generate quadrature collector currents in the switching quad for broadband flat conversion gain. The multiplier chain generates a saturated output power of −7.7 dBm at 244.5 GHz with a 3-dB bandwidth of 81 GHz. It consumes 0.24 W of dc power and occupies 0.86 mm 2 of chip area.


Figure 1: THz-images of BC tissue sections from 310-630 GHz. Higher frequencies show a better resolution in the THz-image compared to the tissue structures measured.
Figure 2: Comparison between the H&E stained histology section of a malignant breast tissue (upper row left) and the corresponding THz-images of same tissue section before deparaffinization at 300, 400, 500 and 600 GHz, respectively (from left to right). The color bar reflects the relative intensities of the THz images.
Figure 3: A: Simplified schematic and micrograph of the near-field single-ended sensor with the cross-bridged double split-ring resonator (SRR) and chopping. B: SNR measurement of the sensor defined by the maximum current response to a metallic object divided by the spot-noise at the chopping frequency.
Figure 5: False colour imaging using the single pixel near-field imager for a Ni-mesh Veco Specimen Grid 0100-NI. The location of image A and B are indicated in the microscopic image of the grid. A: 60x1000 µm, 3x100 px, time/px=8 s; B: 200x200 µm, 20x20 px, time/px=10 s; C: Cross section through the grid bar in B indicated by a white line.
NearSense – Advances Towards a Silicon-Based Terahertz Near-Field Imaging Sensor for Ex Vivo Breast Tumour Identification

March 2018

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131 Reads

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8 Citations

Frequenz -Berlin-

Breast Cancer is one of the most frequently diagnosed cancer diseases worldwide, and the most common invasive tumour for women. As with all cancers, early detection plays a major role in reducing the mortality and morbidity rate. Currently, most breast cancers are detected due to clinical symptoms, or by screening mammography. The limitations of these techniques have resulted in research of alternative methods for imaging and detecting breast cancer. Apart from this, it is essential to define precise tumour margins during breast-conserving surgeries to reduce the re-excision rate. This study presents the advances in the development of a silicon-based THz sub-wavelength imager usable in life science applications, especially for tumour margin identification.

Citations (4)


... High power frequency sources beyond f max /2 become challenging due to the transistor degraded performance and increased back-end losses. Typically, such sources are implemented using an oscillator at lower frequencies followed by a frequency multiplier chain [19], [20], [21]. Here, peak output powers of 9.6 dBm at 270 GHz occupying an area of 0.92 mm 2 with 1.38% efficiency [19] and 8 dBm at 240 GHz occupying an area of 0.28 mm 2 with 1.47% efficiency [21] are reported. ...

Reference:

A 206–220-GHz Compact Fundamental Oscillator With up to 7-dBm Output Power and 7.4% Peak DC-to-RF Efficiency in a 130-nm SiGe Technology
A 300 GHz x9 Multiplier Chain With 9.6 dBm Output Power in 0.13-μm SiGe Technology
  • Citing Conference Paper
  • January 2024

... The complex refractive index n*(ω) at each pixel location can be extracted from the experimental transfer function Ts (ω) by solving an inverse electromagnetic problem 23 . This function denotes the disagreement between the experimental waveform E s (ω) and waveforms 24 . We performed the extraction on a flat area of the blue substrate near the main fracture. ...

Terahertz refractive index-based morphological dilation for breast carcinoma delineation

... Comparable architectures are used in [32], [33], [34], [35], [36], [37], and [38]. Higher factors (MF = 8 [39], [40], [41], MF = 9 [42], [43], [44], and beyond [27], [45], [46], [47], [48], [49]) are achieved using similar cascaded methods but typically at the cost of power and area efficiency, limiting their use in multichannel systems. ...

A 210-291-GHz (8x) Frequency Multiplier Chain With Low Power Consumption in 0.13-μm SiGe
  • Citing Article
  • April 2020

IEEE Microwave and Wireless Components Letters

... This result provided a theoretical basis for THz near-field imaging in the sub-wavelength range. In the same year, Mavarani et al. investigated different types and grades of breast cancer tissue using THz reflection imaging at the same frequency (65). The ability to discriminate between different tissues in this frequency range was demonstrated. ...

NearSense – Advances Towards a Silicon-Based Terahertz Near-Field Imaging Sensor for Ex Vivo Breast Tumour Identification

Frequenz -Berlin-