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Showing result 1 - 5 of 41 essays matching the above criteria.

  1. 1. Characterisation of Non-metallic Inclusions in Special Steels using Electrolytic Extraction

    University essay from KTH/Materialvetenskap

    Author : Josefin Mvele Svensson; [2024]
    Keywords : Non-metallic inclusions; electrolytic extraction; SEM; Icke-metalliska inneslutningar; elektrolytisk extraktion; SEM;

    Abstract : When producing high strength special steels strict requirements are in place to assure the quality of the final product, both in terms of harmful elements and  the  content  of  non-metallic  inclusions  (NMI).  Achieving  cleanliness  is a  gradual  process  where all  the  steps  of  the  production  process  are  inter- connected, meaning that it is crucial to know the influence of each step in order to assure the contents of the final product. READ MORE

  2. 2. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  3. 3. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Marko Plavetic; [2023-06-26]
    Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

    Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

  4. 4. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Author : Dolev Illouz; [2023]
    Keywords : super-resolution; alternating descent conditional gradient method; ADCG; multiple-emitter localization; nanoscale imaging; single molecule tracking; Physics and Astronomy;

    Abstract : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. READ MORE

  5. 5. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

    University essay from KTH/Tillämpad fysik

    Author : Kenan Zec; [2023]
    Keywords : Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

    Abstract : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. READ MORE