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Journal articles on the topic 'Spatial marker'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Veber, Jaka. "Public Transportation as a Spatial Marker." Igra ustvarjalnosti - Creativy Game 2020, no. 08 (2020): 46–53. http://dx.doi.org/10.15292/iu-cg.2020.08.046-053.

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Potential benefits of public transportation as a spatial element are going to be examined. This can relate to permanent infrastructure such as rail tracks, physically separated bus lanes, subway stations etc. These are visually noticeable or otherwise significant built spatial elements and are relatively permanent, which might increase the popularity and use of a public transit service in an area by reassuring potential users of the authorities’ strategic commitment to providing high quality transit as well as by becoming part of an areas’ identity. Other physical elements and their design – s

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Takabayashi, Masanori, Hassaan Majeed, Andre Kajdacsy-Balla, and Gabriel Popescu. "Tissue spatial correlation as cancer marker." Journal of Biomedical Optics 24, no. 01 (2019): 1. http://dx.doi.org/10.1117/1.jbo.24.1.016502.

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Kim, Doyoung, Jae Hwan Bong, and Seongkyun Jeong. "Enhancing Pose Estimation Using Multiple Graphical Markers with Spatial and Temporal Outlier Detection." Applied Sciences 14, no. 22 (2024): 10225. http://dx.doi.org/10.3390/app142210225.

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This paper presents a novel approach to enhance pose estimation accuracy and precision in mobile robotics using multiple graphical markers. While traditional single-marker methods using graphical markers such as ArUco offer simple implementation, their performance is susceptible to environmental variations and measurement errors. To address these limitations, we propose a robust pose estimation algorithm that leverages multiple markers simultaneously. Our approach incorporates two key mechanisms: spatial consistency verification to detect invalid markers within the marker array, and temporal s

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Gal, Cynthia A., James O. Benedict, and Deborah M. Supinski. "Territoriality and the Use of Library Study Tables." Perceptual and Motor Skills 63, no. 2 (1986): 567–74. http://dx.doi.org/10.2466/pms.1986.63.2.567.

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This experiment examined the influence of three different spatial markers at three different types of college library tables. College students were told to assume they were using the library either to do research or to study for a test and were then presented slides each showing a different table with a different marker. The students were asked to rate their level of avoidance for sitting at each of the seats at the table or to sitting at the table itself. The types of tables were a four-person table, four study tables with low partitions at front and sides, and four carrels with high partitio

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Santos-Cantador, Javier, Marcos Siguero-Álvarez, and José Luis de la Pompa. "Patterning Defects in Mice with Defective Ventricular Wall Maturation and Cardiomyopathy." Journal of Cardiovascular Development and Disease 12, no. 6 (2025): 224. https://doi.org/10.3390/jcdd12060224.

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Ventricular chamber development involves the coordinated maturation of diverse cardiomyocyte cell populations. In the human fetal heart, single-cell and single-nucleus RNA sequencing technologies and spatial transcriptomics reveal marked regional gene expression differences. In contrast, the mouse ventricular wall appears more homogeneous, except for a transient hybrid cardiomyocyte population co-expressing compact (Hey2) and trabecular (Irx3, Nppa, Bmp10) markers, indicating a transitional lineage state. To further investigate this, we used in situ hybridization (ISH) to examine the expressio

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Khan, Raj Wali, Muhammad Iqbal, and Muhammad Anwar. "Spatial, Temporal and Structural Usages of Pashto Case Marker ‘Ta’." International Journal of English Linguistics 10, no. 2 (2020): 383. http://dx.doi.org/10.5539/ijel.v10n2p383.

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Pashto is an Indo-Iranian language which expresses different semantic aspects and functions with the help of case markers. The post-position &amp; case marker Ta has the quality to posit many types of usages i.e. temporal, spatial and structural in Pashto language. In the research on Pashto syntax, Khan (2009), Roberts (2000) and Tegey and Robson (1996) have described the phenomenon of case marker &lsquo;Ta&rsquo; but have not been investigated extensively. This study follows Ahmed (2006) to analyze in detail different functions and usages of Ta in terms of semantic and syntactic p

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Bruns, Volker. "Programming-free Image-Analysis Workflows for IHC, IF and Spatial Proteomics: More than just Cell Counting." Annual Edition 2024 3, no. 1 (2024): 28–31. http://dx.doi.org/10.47184/tp.2024.01.06.

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Quantitative analysis of cells using a specific protein marker is one of the most frequently performed tasks in both preclinical and clinical histopathology. The primary alternatives include immunohistochemistry and immunofluorescence. This article will briefly shed some light on the pros and cons of both methods, the main ones being that immunohistochemistry is widely available, but in many laboratories, it is limited to only one marker per image. Utilizing more than one marker can be achieved through methods such as establishing duplex or triplex stains, serial sections, or re-staining. Howe

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Akbari, D. "AN EXTENDED SPECTRAL–SPATIAL CLASSIFICATION APPROACH FOR HYPERSPECTRAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 37–41. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-37-2017.

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In this paper an extended classification approach for hyperspectral imagery based on both spectral and spatial information is proposed. The spatial information is obtained by an enhanced marker-based minimum spanning forest (MSF) algorithm. Three different methods of dimension reduction are first used to obtain the subspace of hyperspectral data: (1) unsupervised feature extraction methods including principal component analysis (PCA), independent component analysis (ICA), and minimum noise fraction (MNF); (2) supervised feature extraction including decision boundary feature extraction (DBFE),

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Shahzadi, Komal. "Diverse Applications of the Case Markers: Urdu Ko and Punjabi Nun." Qlantic Journal of Social Sciences and Humanities 3, no. 1 (2022): 48–56. http://dx.doi.org/10.55737/qjssh.280176732.

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All the Indo-Aryan languages including Urdu and Punjabi use case markers to express the multiple semantic usages of the languages. The present study investigates the variant semantic functions of Urdu ko and Punjabi nun. It aims at the description as well as the analysis of the study samples that show the differing application of Urdu ko and Punjabi nun. Qualitative methodology is used to state the spatial as well as non -spatial usages of the case markers. The results show that the case marker ko and nun mark the accusative as well as dative. These are also used to show a few other temporal a

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Wenckstern, Johann, Eeshaan Jain, Kiril Vasilev, et al. "Abstract B037: AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery." Clinical Cancer Research 31, no. 13_Supplement (2025): B037. https://doi.org/10.1158/1557-3265.aimachine-b037.

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Abstract Spatial proteomics technologies have transformed our understanding of complex tissue architectures by enabling simultaneous analysis of multiple molecular markers and their spatial organization. The high dimensionality of these data, varying marker combinations across experiments and heterogeneous study designs pose unique challenges for computational analysis. Here, we present Virtual Tissues (VirTues), a foundation model framework for biological tissues that operates across the molecular, cellular and tissue scale. VirTues introduces innovations in transformer architecture design, i

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Xu, S., W. F. Jiemy, J. C. Graver, et al. "POS0092 SPATIAL DISTRIBUTION OF DISTINCT FIBROBLAST SUBTYPES IN GIANT CELL ARTERITIS." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 259.2–259. http://dx.doi.org/10.1136/annrheumdis-2023-eular.232.

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BackgroundGiant cell arteritis (GCA) is a systemic vasculitis of large- and medium-sized arteries which is characterized by granulomatous inflammation and vascular remodeling. The pathogenesis of GCA starts in the adventitia where fibroblasts are the major cell population. Fibroblasts are recognized for synthesizing and remodeling the extracellular matrix (ECM), but their phenotype and role in GCA-affected blood vessels is largely unknown.ObjectivesTo explore the distribution of fibroblast phenotypes and their link to vascular remodeling in GCA.MethodsTemporal artery biopsies (TABs) from patie

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Janhunen, Juha. "Issues of comparative Uralic and Altaic studies (10): On the local case markers in Mongolic." Voprosy Jazykoznanija, no. 5 (2022): 55. http://dx.doi.org/10.31857/0373-658x.2022.5.55-63.

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This paper discusses the diachronic status of the local case markers in Mongolic, as compared with the other “Micro-Altaic” languages. In spite of some striking superfi cial similarities, it is shown that the local case markers in Mongolic, Turkic, and Tungusic have separate origins, though it cannot be ruled out that they have secondarily infl uenced each other in the context of areal contacts. Mongolic has two secondary “dative” (dative-locative) markers, *-DUr and *-D-A-, of which the former is likely to be based on the spatial *dota-r(-) ‘inside’, while the latter involves a combination of

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Gupta, Anushka, Stephen Williams, Lauren Gutgasell, et al. "Spatially resolved whole-transcriptome analysis with simultaneous highly multiplexed immune cell epitope detection in multiple cancer tissues." Journal of Immunology 210, no. 1_Supplement (2023): 251.04. http://dx.doi.org/10.4049/jimmunol.210.supp.251.04.

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Abstract The tumor microenvironment is composed of highly heterogeneous niches, often with varying degrees of immune infiltration. The spatial distribution of immune cells with respect to malignant cells can directly impact patient prognosis and overall survival outcomes. The Visium CytAssist Spatial Gene Expression assay uses a whole transcriptome probe-based approach, termed RTL, to detect and quantify mRNA expression with spatial context. Although examination of the tumor microenvironment with an RTL-based spatial assay can provide significant transcriptomic information concerning regions o

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Gianola, Daniel, Miguel Perez-Enciso, and Miguel A. Toro. "On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge." Genetics 163, no. 1 (2003): 347–65. http://dx.doi.org/10.1093/genetics/163.1.347.

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Abstract Marked-assisted genetic improvement of agricultural species exploits statistical dependencies in the joint distribution of marker genotypes and quantitative traits. An issue is how molecular (e.g., dense marker maps) and phenotypic information (e.g., some measure of yield in plants) is to be used for predicting the genetic value of candidates for selection. Multiple regression, selection index techniques, best linear unbiased prediction, and ridge regression of phenotypes on marker genotypes have been suggested, as well as more elaborate methods. Here, phenotype-marker associations ar

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Kiss, Imre, Zoltán Janka, György Benedek, and Szabolcs Kéri. "Spatial frequency processing in schizophrenia: Trait or state marker?" Journal of Abnormal Psychology 115, no. 3 (2006): 636–38. http://dx.doi.org/10.1037/0021-843x.115.3.636.

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Putra, Syahrizal Dwi, Diah Aryani, Harlinda Syofyan, and Verdi Yasin. "Aplikasi Augmented Reality Geometri Sekolah Dasar Untuk Bangun Datar dan Ruang Menggunakan Metode Marker Based Tracking." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 1 (2023): 250. http://dx.doi.org/10.30865/mib.v7i1.5281.

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Geometry is an important part of students' mastery of mathematics. In its application, students are still constrained in imagining objects abstractly. It takes the right learning media that is used by teachers and keeps abreast of current technological developments. This study aims to describe flat and spatial geometric objects in teaching geometry using augmented reality learning media based on Android applications so that learning becomes more interesting, concrete and visual equipped with a quiz game feature that contains quizzes that are puzzle games. This application was built using Unity

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Wei, Xianming, Phillip A. Jackson, Scott Hermann, Andrzej Kilian, Katarzyna Heller-Uszynska, and Emily Deomano. "Simultaneously accounting for population structure, genotype by environment interaction, and spatial variation in marker–trait associations in sugarcaneThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”." Genome 53, no. 11 (2010): 973–81. http://dx.doi.org/10.1139/g10-050.

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Few association mapping studies have simultaneously accounted for population structure, genotype by environment interaction (GEI), and spatial variation. In this sugarcane association mapping study we tested models accounting for these factors and identified the impact that each model component had on the list of markers declared as being significantly associated with traits. About 480 genotypes were evaluated for cane yield and sugar content at three sites and scored with DArT markers. A mixed model was applied in analysis of the data to simultaneously account for the impacts of population st

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Akbari, D., A. R. Safari, S. Homayouni, and S. Khazai. "A COMPARISON STUDY OF DIFFERENT MARKER SELECTION METHODS FOR SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 10, 2015): 37–41. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-37-2015.

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An effective approach based on the Minimum Spanning Forest (MSF), grown from automatically selected markers using Support Vector Machines (SVM), has been proposed for spectral-spatial classification of hyperspectral images by Tarabalka et al. This paper aims at improving this approach by using image segmentation to integrate the spatial information into marker selection process. In this study, the markers are extracted from the classification maps, obtained by both SVM and segmentation algorithms, and then are used to build the MSF. The segmentation algorithms are the watershed, expectation ma

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Nizzero, Sara, Licheng Zhang, Yitian Xu, et al. "Abstract 1963: Spatial patterns of microenvironmental biomarkers drive long-term breast cancer outcome." Cancer Research 82, no. 12_Supplement (2022): 1963. http://dx.doi.org/10.1158/1538-7445.am2022-1963.

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Abstract Determining early biomarkers of long-term survival remain a significant challenge for solid tumors. Certain spatial patterns of immune and stroma cells within tumors have been correlated with treatment response across cancer types, including breast cancer. Mechanical and physical microenvironmental signatures have emerged as drivers of cancer aggressiveness and invasiveness. This suggests that physio/mechanical structures may drive the formation of favorable immune-tumor-stroma cell patterns. In this work, we use a novel 60-marker imaging mass cytometry panel that included 16 tumor ma

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Muijtjens, A. M., J. M. Roos, T. T. Prinzen, A. Hasman, R. S. Reneman, and T. Arts. "Noise reduction in estimating cardiac deformation from marker tracks." American Journal of Physiology-Heart and Circulatory Physiology 258, no. 2 (1990): H599—H605. http://dx.doi.org/10.1152/ajpheart.1990.258.2.h599.

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Deformation of the cardiac wall is measured by using optical or radiopaque markers attached to the wall. When digitized images are used, the accuracy of the measurement of a marker position is limited by pixel resolution and the size of the marker. The spatial accuracy is improved by singular value decomposition (SVD) filtering. This filtering procedure is based on the assumption that displacements of markers are mutually related because they are embedded in a common continuum. In a computer stimulation with 48 markers in 51 video frames, the accuracy of the measurement of a marker position im

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Sebastian, Meier. "The Marker Cluster." International Journal of Agricultural and Environmental Information Systems 7, no. 1 (2016): 28–43. http://dx.doi.org/10.4018/ijaeis.2016010102.

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The growing amount of gathered, stored and available data is creating a need for useful mass-data visualizations in many domains. The mapping of large spatial data sets is not only of interest for experts anymore, but, with regard to the latest advances in web cartography, also moves into the domain of public cartographic applications. One interactive web-based cartographic interface design pattern that helps with visualizing and interacting with large, high density data sets is the marker cluster; a functionality already in use in many web-based products and solutions. In this article, the au

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Yamaguchi, Toshiko. "The rise of demonstrative-based first/second-person markers in the history of Japanese." Journal of Historical Pragmatics 16, no. 2 (2015): 250–76. http://dx.doi.org/10.1075/jhp.16.2.05yam.

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This paper explores the rise of demonstrative-based person markers in the history of Japanese and takes Ishiyama’s spatial semantic approach as its point of departure. Despite the claim that demonstrative-based person markers remained functionally demonstrative, I argue that they began to manifest the category of person from an early stage of their development; that is to say, thanks to speaker innovation, demonstratives underwent semantic re-analysis to become markers representing the speaker’s ego in the reality of discourse. This paper also pinpoints that two notions, distancing and dissimi

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Firdaus, M. Faizal, Ade Eviyanti, Nuril Lutvi Azizah, and Novia Ariyanti. "Augmented Reality Application for Teaching 3D Shapes in Primary School." JICTE (Journal of Information and Computer Technology Education) 9, no. 1 (2025): 11–17. https://doi.org/10.21070/jicte.v9i1.1672.

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This article is created to facilitate learning about building augmented reality spaces using the marker-based method on the Android platform. The goal of this research is to demonstrate how augmented reality can be beneficial as a learning tool and enhance student learning outcomes. The study took place at SDN 1 Grabakan, Kec. Krembung, Kab. Sidoarjo. Data collection utilized interviews with questions related to spatial geometry learning and direct observations at SDN 1 Grabakan, Kec. Krembung, Kab. Sidoarjo. The multimedia development method encompassed concept development, design, data colle

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Oetjen, Karolyn A., Diane E. Bender, Marianna B. Ruzinova, Daniel A. C. Fisher, Stephen T. Oh, and Daniel C. Link. "Imaging Mass Cytometry Reveals the Spatial Architecture of Myelodysplastic Syndromes and Secondary Acute Myeloid Leukemias." Blood 136, Supplement 1 (2020): 44–45. http://dx.doi.org/10.1182/blood-2020-142238.

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Histologic review of bone marrow trephine biopsies is a central component of the diagnostic and treatment response evaluation of hematologic malignancies. Well-validated antibody reagents are routinely used for immunohistochemistry of these samples to provide additional insight into abnormal antigen expression. However, current immunohistochemistry staining protocols are typically limited to only one or two markers simultaneously. Dysplastic changes in cellular morphology and dyssynchronous expression of lineage markers are common features of myelodysplastic syndromes, myeloproliferative neopl

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Coughlan, Gillian, Jan Laczó, Jakub Hort, Anne-Marie Minihane, and Michael Hornberger. "Spatial navigation deficits — overlooked cognitive marker for preclinical Alzheimer disease?" Nature Reviews Neurology 14, no. 8 (2018): 496–506. http://dx.doi.org/10.1038/s41582-018-0031-x.

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Robertson, Ian H., Tom Manly, Nicoletta Beschin, et al. "Auditory sustained attention is a marker of unilateral spatial neglect." Neuropsychologia 35, no. 12 (1997): 1527–32. http://dx.doi.org/10.1016/s0028-3932(97)00084-5.

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Moreau, L., H. Monod, A. Charcosset, and A. Gallais. "Marker-assisted selection with spatial analysis of unreplicated field trials." Theoretical and Applied Genetics 98, no. 2 (1999): 234–42. http://dx.doi.org/10.1007/s001220051063.

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Sumnall, J. H., B. G. Cumming, and A. J. Parker. "Integration of Disparity Information across Multiple Fixations." Perception 25, no. 1_suppl (1996): 153. http://dx.doi.org/10.1068/v96l0910.

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We measured stereo thresholds for observers viewing noisy, dynamic random-dot stereograms (DRDS) containing either a spatial or a temporal step in depth. Stereograms were presented either with or without a small fixation cross at zero disparity. When the fixation marker was present observers were instructed to maintain fixation throughout the presentation. For spatial steps in depth, the lowest thresholds were found when there was no fixation marker and observers were free to look around the stimulus. Thresholds were higher with a fixation marker in the stimulus. The opposite pattern of result

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Trigos, Anna, Tianpei Yang, Yuzhou Feng, et al. "668 A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment." Journal for ImmunoTherapy of Cancer 8, Suppl 3 (2020): A705. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0668.

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BackgroundSpatial technologies that query the location of cells in tissues such as multiplex immunohistochemistry and spatial transcriptomics are gaining popularity and are likely to become commonplace. The resulting data often includes the X, Y coordinates of millions of cells, cell phenotypes and marker or gene expression levels. In cancer, the spatial location of lymphocytes has been linked to prognosis and response to immunotherapy. While these advances have been exciting for the field, the methods currently being used are still coarse, making us severely underpowered in our ability to ext

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Mo, Chia-Kuei, Yige Wu, Terekhanova Nadezhda, et al. "Abstract 2025: Spatial transcriptomic profiling of progression markers in clear cell renal cell carcinoma." Cancer Research 82, no. 12_Supplement (2022): 2025. http://dx.doi.org/10.1158/1538-7445.am2022-2025.

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Abstract Next-generation sequencing enabled molecular landscaping and the discovery of novel tumor markers in ccRCC. However, the spatial relationships and histological features of the tumor microenvironment were lost during this process. Combining snRNA-seq, snATAC-seq, Spatial Transcriptomics (ST) technology, and immunofluorescence labeling, we discovered novel ccRCC progression tumor markers, and uncovered their spatial dependent expression pattern in both human ccRCC tumors and patient-derived xenograft (PDX). Using snRNA-seq and snATAC-seq, novel tumor progression markers such as NDRG1, M

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Akbari, D. "A NEW SPECTRAL-SPATIAL FRAMEWORK FOR CLASSIFICATION OF HYPERSPECTRAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W5 (October 5, 2017): 7–10. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w5-7-2017.

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In this paper, an innovative framework, based on both spectral and spatial information, is proposed. The objective is to improve the classification of hyperspectral images for high resolution land cover mapping. The spatial information is obtained by a marker-based Minimum Spanning Forest (MSF) algorithm. A pixel-based SVM algorithm is first used to classify the image. Then, the marker- based MSF spectral-spatial algorithm is applied to improve the accuracy for classes with low accuracy. The marker-based MSF algorithm is used as a binary classifier. These two classes are the low accuracy class

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Akbari, D. "A NEW SPECTRAL-SPATIAL FRAMEWORK FOR CLASSIFICATION OF HYPERSPECTRAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 43–46. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-43-2017.

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In this paper, an innovative framework, based on both spectral and spatial information, is proposed. The objective is to improve the classification of hyperspectral images for high resolution land cover mapping. The spatial information is obtained by a marker-based Minimum Spanning Forest (MSF) algorithm. A pixel-based SVM algorithm is first used to classify the image. Then, the marker-based MSF spectral-spatial algorithm is applied to improve the accuracy for classes with low accuracy. The marker-based MSF algorithm is used as a binary classifier. These two classes are the low accuracy class

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Wakhloo, Debia, Julia Yu, Sonali Deshpande, Donald Allen, Anne Hellebust, and Anushka Dikshit. "Abstract 5318: Identifying immune cell phenotypes and their function by using high throughput spatial multiomics." Cancer Research 85, no. 8_Supplement_1 (2025): 5318. https://doi.org/10.1158/1538-7445.am2025-5318.

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Abstract Advances in our understanding of the tumor microenvironment (TME) will help inform the development of next generation immunotherapies and engineered immune-cell therapies. Spatially characterizing immune cells with cell marker protein and activation marker RNAs is crucial to determine therapeutic efficacy and potential therapeutic toxicity. To address this, we have developed a high throughput RNAscope™ assay on the BOND RX to spatially visualize RNA and protein markers on the same slide. We utilized the new RNAscope™ Multiomic LS assay that can detect up to 6 RNA and protein targets o

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Lee, Christine, Chenyun Zhou, Brenda Hyde, Pengfei Song, and Nicholas Hangiandreou. "Techniques for Improving Ultrasound Visualization of Biopsy Markers in Axillary Lymph Nodes." Journal of Clinical Imaging Science 10 (April 18, 2020): 21. http://dx.doi.org/10.25259/jcis_9_2020.

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Objective: Biopsy markers are often placed into biopsy-proven metastatic axillary lymph nodes to ensure later accurate node excision. Ultrasound is the preferred imaging modality in the axilla. However, sonographic identification of biopsy markers after neoadjuvant therapy can be challenging. This is due to poor conspicuity relative to surrounding parenchymal interfaces, treatment-related alteration of malignant morphology during neoadjuvant chemotherapy, or extrusion of the marker from the target. To the authors’ knowledge, the literature provides no recommendations for ultrasound scanning pa

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Zhou, Jie, Todd B. Sheridan, Sergii Domanskyi, et al. "Abstract 756: Unveiling the spatial landscape of tumor and stroma heterogeneity in colorectal cancer with spatial transcriptomics and deep learning." Cancer Research 85, no. 8_Supplement_1 (2025): 756. https://doi.org/10.1158/1538-7445.am2025-756.

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Abstract Heterogeneity in colorectal cancer (CRC) manifests as inter- and intra-patient diversity in tumor and immune cell populations as well as varied patterns of tumor interaction with surrounding stroma. Spatial transcriptomics (ST) captures gene expression within the native spatial context of tissues, offering a high-resolution approach to dissect cancer molecular landscapes. Prior ST studies in CRC have been constrained by small sample sizes and tissue selection biases, reducing clinical relevance. Here we performed ST (10x Genomics Visium Spatial Gene Expression) on 40 retrospectively-c

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Viberg, Åke. "The Language-specific Spatial Marker 'fram' in Swedish and the Expression of Frontal Orientation in English and Swedish." Nordic Journal of English Studies 23, no. 2 (2024): 120–51. https://doi.org/10.35360/njes.v23i2.39172.

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This study presents a description of the language-specific spatial marker fram, which has a frontal orientation, and how it is translated into English based on data from the English-Swedish Parallel Corpus. Frontal orientation is systematically encoded in English in descriptions of stative location in expressions such as in front of the house. However, English lacks any clear correspondence to the dynamic spatial marker fram in Swedish both at the structural and at the semantic level. Structurally fram is used both as a free word and in many compounds and derived words to an extent that has no

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Truong, Danh, Sandhya Krishnan, Clement Agyemang, et al. "Abstract 5462: Single-cell spatial proteomic analysis to explore the spatial heterogeneity of desmoplastic small round cell tumors." Cancer Research 84, no. 6_Supplement (2024): 5462. http://dx.doi.org/10.1158/1538-7445.am2024-5462.

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Abstract Desmoplastic small round cell tumor (DSRCT) is a rare and usually incurable aggressive sarcoma subtype. All malignant cells harbor a pathognomonic EWSR1::WT1 fusion protein (FP). However, FP-targeted agents are nonexistent; less than 20% of patients survive beyond five years. The spatial organization of DSRCT, consisting of tumor nests surrounded by desmoplastic stroma, is a hallmark of this disease. Given this context, we seek to understand the spatial heterogeneity within DSRCT and the tumor-stroma interactions to reveal potential therapeutic vulnerabilities. We generated a 20-panel

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Kabraji, Sheheryar Kairas, Giorgio Gaglia, Danae Argyropoulou, et al. "Temporal and spatial topography of cell proliferation in cancer." Journal of Clinical Oncology 39, no. 15_suppl (2021): 3122. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.3122.

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3122 Background: Tumors are complex ecosystems where exogenous and endogenous cues are integrated to either stimulate or inhibit cancer cell proliferation. However, the nature of these complex cell cycle states, their spatial organization, response to perturbation, and implications for clinical outcomes, are poorly characterized in tumor tissues. Methods: We used multiplexed tissue imaging to develop a robust classifier of proliferation, the multivariate proliferation index (MPI), using 513 unique tumors across five cancer types. Next, we used dimensionality reduction analysis to assess how th

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Akbari, D. "SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGERY USING A HYBRID FRAMEWORK." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 541–44. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-541-2019.

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<p><strong>Abstract.</strong> This paper describes a new framework for classification of hyperspectral images, based on both spectral and spatial information. The spatial information is obtained by an enhanced Marker-based Hierarchical Segmentation (MHS) algorithm. The hyperspectral data is first fed into the Multi-Layer Perceptron (MLP) neural network classification algorithm. Then, the MHS algorithm is applied in order to increase the accuracy of less-accurately classified land-cover types. In the proposed approach, the markers are extracted from the classification maps obt

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Elhossiny, Ahmed M., Eileen Carpenter, Padma Kadiyala, et al. "Abstract A006: Integrating single cell and spatial transcriptomics define gene signature for pancreatic ductal adenocarcinoma pre-neoplastic lesion." Cancer Research 82, no. 22_Supplement (2022): A006. http://dx.doi.org/10.1158/1538-7445.panca22-a006.

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Abstract Pancreatic Cancer Ductal Adenocarcinoma (PDAC) is one of the deadliest cancers with 5-year survival of 11%. Understanding the intratumor heterogeneity is a pivotal piece to unravel the complexity of PDAC. While single cell RNASeq identifies the heterogeneous cell populations within the tumor tissue, spatially characterizing the transcriptomic profile of neoplastic and pre-neoplastic populations within the tissue remains a challenge, as the spatial dimension is usually lost upon tissue dissociation. We identified an approach to integrate spatial transcriptomics data with single cell RN

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Nizzero, Sara, Maria Pelaez Soni, Yitian Xu, et al. "Abstract PD4-04: PD4-04 A quantitative spatial analysis of microenvironmental biomarkers for breast cancer outcome." Cancer Research 83, no. 5_Supplement (2023): PD4–04—PD4–04. http://dx.doi.org/10.1158/1538-7445.sabcs22-pd4-04.

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Abstract Background: Understanding breast cancer progression and the relationships among biomarkers in the tumor and tumor microenvironment could go beyond established prognostic markers of breast cancer. Poor response and recurrence may indeed be a consequence of the highly heterogeneous spatial distribution of biomarkers within cancers, and/or the synergistic and antagonistic relationship between co-localized biomarkers. Recently, mechanical and physical microenvironmental signatures have emerged as relevant in determining cancer aggressiveness and invasiveness. This suggests that physical s

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Chen, Qian, Futao Chen, Cong Long, et al. "Neuroimaging associations with spatial navigation impairment in Alzheimer’s disease continuum: A narrative review." Advanced Neurology 1, no. 2 (2022): 145. http://dx.doi.org/10.36922/an.v1i2.145.

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Identifying individuals with incipient Alzheimer’s disease (AD) are critical for early and targeted intervention before the dementia develops as AD progresses. Recently, emerging data have suggested that spatial navigation and neuroimaging could be utilized to identify individuals with prodromal AD. Compared to episodic memory, spatial navigation has fewer cultural and educational discrepancies and could serve as a promising marker for diagnosis and outcome measures in multicenter longitudinal studies with large cohorts. Furthermore, neuroimaging studies have contributed to our understanding o

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WOOD, S. J., C. PANTELIS, T. PROFFITT, et al. "Spatial working memory ability is a marker of risk-for-psychosis." Psychological Medicine 33, no. 7 (2003): 1239–47. http://dx.doi.org/10.1017/s0033291703008067.

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Background. Working memory has been identified as a core cognitive deficit in schizophrenia that is associated with negative symptoms, but it is unclear whether it is impaired prior to onset of psychosis in symptomatic patients.Method. Thirty-eight young people at ultra high-risk (UHR) of developing psychosis (of whom nine later became psychotic) were compared with 49 healthy controls on tests of spatial working memory (SWM) and delayed matching-to-sample (DMTS).Results. Both SWM and DMTS performance was significantly poorer in the UHR groups. Those who later became psychotic generally perform

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Baca, A. "Spatial reconstruction of marker trajectories from high-speed video image sequences." Medical Engineering & Physics 19, no. 4 (1997): 367–74. http://dx.doi.org/10.1016/s1350-4533(96)00076-8.

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Wersall, P., A. Hartwig, E. Castellanos, F. Labruto, and A. Tilikidis. "Spatial Accuracy and Visibility Studies of a MRI Compatible Fiducial Marker." International Journal of Radiation Oncology*Biology*Physics 84, no. 3 (2012): S737—S738. http://dx.doi.org/10.1016/j.ijrobp.2012.07.1973.

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Crespo, Y., M. F. Soriano, S. Iglesias-Parro, J. I. Aznarte, and A. J. Ibáñez-Molina. "Spatial Analysis of Handwritten Texts as a Marker of Cognitive Control." Journal of Motor Behavior 50, no. 6 (2017): 643–52. http://dx.doi.org/10.1080/00222895.2017.1400945.

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Jing, Jing, Miao Ge, Ziqi Yang, and Peng Li. "Spatial distribution characteristics of tumor marker CA724 reference values in China." Cancer Medicine 8, no. 9 (2019): 4465–74. http://dx.doi.org/10.1002/cam4.2176.

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Li, Songyun, Zhuo Wang, Hsien-Da Huang, and Tzong-Yi Lee. "Machine Learning-Based Characterization and Identification of Tertiary Lymphoid Structures Using Spatial Transcriptomics Data." International Journal of Molecular Sciences 25, no. 7 (2024): 3887. http://dx.doi.org/10.3390/ijms25073887.

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Tertiary lymphoid structures (TLSs) are organized aggregates of immune cells in non-lymphoid tissues and are associated with a favorable prognosis in tumors. However, TLS markers remain inconsistent, and the utilization of machine learning techniques for this purpose is limited. To tackle this challenge, we began by identifying TLS markers through bioinformatics analysis and machine learning techniques. Subsequently, we leveraged spatial transcriptomic data from Gene Expression Omnibus (GEO) and built two support vector classifier models for TLS prediction: one without feature selection and th

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Simonnet, Mathieu. "Smart Map Augmented: Exploring and Learning Maritime Audio-Tactile Maps without Vision: The Issue of Finger or Marker Tracking." Multimodal Technologies and Interaction 6, no. 8 (2022): 66. http://dx.doi.org/10.3390/mti6080066.

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Background: When exploring audio-tactile nautical charts without vision, users could trigger vocal announcements of a seamark’s name thanks to video tracking. In a first condition they could simply use a green sticker fastened at the tip of a finger and in a second condition they could handle a small handy green object, called the marker. Methods: In this study, we attempted to compare finger and marker tracking conditions to complete spatial tasks without vision. More precisely, we aimed to better understand which kind of interaction was the most efficient to perform either localization or es

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Peter, Michael, Judith Glück, and Wolfgang Beiglböck. "Map Understanding as a Developmental Marker in Childhood." Journal of Individual Differences 31, no. 2 (2010): 64–67. http://dx.doi.org/10.1027/1614-0001/a000011.

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A new test on map understanding for preschool and elementary-school children was constructed based on a Piagetian framework of the development of spatial ability and representational understanding. Results from a study with 95 3- to 6-year-old children are reported. The developmental trajectories for the performance components confirmed the construction rules and were explainable by Piagetian developmental stages.

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