Article
Microbiology
Maximilian W. D. Raas, Thiago P. Silva, Jhamine C. O. Freitas, Lara M. Campos, Rodrigo L. Fabri, Rossana C. N. Melo
Summary: The study utilized whole slide imaging (WSI) to visualize Candida biofilm formation, staining accumulated biofilms with fluorescent markers and scanning in both bright-field and fluorescence modes using a WSI digital scanner. WSI allowed for clear assessment of biofilm size and structural features, with quantitative analysis showing reductions in biofilm-covered surface area upon antifungal exposure. At the single-cell level, WSI proved to be adequate for evaluating morphometric parameters, demonstrating its reliability in visualizing Candida biofilms and making it an important addition to microscopic tools for fungal biofilm growth analysis.
MICROBIOLOGICAL RESEARCH
(2021)
Article
Medicine, Research & Experimental
Sonja Koivukoski, Umair Khan, Pekka Ruusuvuori, Leena Latonen
Summary: Tissue structures, phenotypes, and pathology are investigated using histology, but chemical staining has drawbacks. This study explores unstained tissue imaging for virtual staining, showing that thinner sections perform better. The study suggests that whole slide unstained microscopy can be a fast and feasible approach for virtual staining while preserving the tissue for subsequent use.
LABORATORY INVESTIGATION
(2023)
Article
Engineering, Electrical & Electronic
Satya Prasanna Mallick, K. S. Adithya, Ratul Sabui, Balu Babu Naidu, Ranjeet Singh, Harish Babu, Gajula Jagadeesh, K. M. Venkata Amaresh, Ram Gopal, Vandana Sharma
Summary: We propose a novel approach to whole slide imaging (WSI) using a low-cost, portable, fully enclosed scanner device that can be controlled wirelessly through an intuitive user interface on an iPad. The device incorporates features such as automatic slide loading, brightness control, and an autofocus algorithm.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Pathology
Jayaram N. Iyengar
Summary: The development of whole slide scanners has led to the widespread use of digitized whole slide images in histopathology, providing new possibilities for expert consults, quality assessment, education, and routine reporting. Industry development is driven by consumer demands, resulting in significant improvements in image quality, scanning speed, file size, and equipment capital cost.
INDIAN JOURNAL OF PATHOLOGY AND MICROBIOLOGY
(2021)
Article
Optics
Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Junjun Jiang, Xiangyang Ji, Xiaolin Wu
Summary: This paper proposes an effective learning-based method for autofocusing in WSI, which achieves accurate and high-speed autofocus without any optical hardware modifications. Experimental results demonstrate the superior autofocusing performance of our method compared to other related methods.
Review
Oncology
Mark D. Zarella, Keysabelis Rivera Alvarez
Summary: Digital pathology and artificial intelligence rely on the digitization of patient material. Innovations in whole-slide imaging technology and automated informatics approaches have enabled high-throughput scanning, improving workflow efficiency and imaging data quality. However, challenges remain and further innovation is needed in automation and quality control to make high-throughput scanning accessible to laboratories with limited resources.
JOURNAL OF PATHOLOGY
(2022)
Review
Pathology
Andrew John Evans, Nadia Depeiza, Shara-Gaye Allen, Kimone Fraser, Suzanne Shirley, Runjan Chetty
Summary: This paper discusses the experience of using whole slide imaging and video conferencing tools for distance pathology education during the COVID-19 pandemic, with teachers and students showing strong support and positive feedback for this teaching modality, indicating that whole slide imaging is an important tool for future distance education.
JOURNAL OF CLINICAL PATHOLOGY
(2021)
Review
Oncology
Paola Chiara Rizzo, Ilaria Girolami, Stefano Marletta, Liron Pantanowitz, Pietro Antonini, Matteo Brunelli, Nicola Santonicco, Paola Vacca, Nicola Tumino, Lorenzo Moretta, Anil Parwani, Swati Satturwar, Albino Eccher, Enrico Munari
Summary: This study aimed to identify common pitfalls in validation studies of whole-slide imaging (WSI) and suggest measures to address these challenges. The results showed that technical issues and diagnostic problems were encountered with WSI technology. Technical problems included slide scan failure, prolonged review time, and the need for higher image resolution. Diagnostic challenges involved grading dysplasia, reliable assessment of mitoses, identification of microorganisms, and defining the invasive front of tumors.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, Research & Experimental
Joshua Doyle, Benjamin F. Green, Margaret Eminizer, Daniel Jimenez-Sanchez, Steve Lu, Elizabeth L. Engle, Haiying Xu, Aleksandra Ogurtsova, Jonathan Lai, Sigfredo Soto-Diaz, Jeffrey S. Roskes, Julie S. Deutsch, Janis M. Taube, Joel C. Sunshine, Alexander S. Szalay
Summary: Multiplex immunohistochemistry/immunofluorescence (mIHC/mIF) technology enables the evaluation of multiple protein expressions at single-cell resolution while preserving tissue architecture. Cross-registration of multiplex immunofluorescence images with additional imaging modalities and immunohistochemistry (IHC) can improve the quality of data by enhancing downstream processes such as cell segmentation. A fully automated process was designed to perform a hierarchical, parallelizable, and deformable registration of multiplexed digital whole-slide images (WSIs). Additionally, a pan-membrane immunohistochemical staining method was developed for improved cell segmentation.
LABORATORY INVESTIGATION
(2023)
Article
Computer Science, Information Systems
Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
Summary: Virtual staining is a growing interest in digital pathology, allowing for simulation of stained tissue images to save resources, with the use of unsupervised style transfer GANs. A novel perceptual embedding consistency loss is proposed to reduce tiling artifacts in virtual staining, resulting in more seamless reconstruction. Quantitative validation and comparison with real stained images demonstrate the effectiveness of the proposed method.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipkova, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Summary: Deep learning-based computational pathology algorithms show great potential in various tasks, but require large high-quality training data. Collaborative integration of medical data from multiple institutions can enhance model performance, although privacy concerns and data sharing complexities remain challenging.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Medical Laboratory Technology
Rebecca Rojansky, Iny Jhun, Alex M. Dussaq, Steven M. Chirieleison, Jeffrey J. Nirschl, Don Born, Jennifer Fralick, William Hetherington, Alison M. Kerr, Jonathan Lavezo, Daniel B. Lawrence, Seth Lummus, Ronald Macasaet, Thomas J. Montine, Emily Ryan, Jeanne Shen, Jonathan Shoemaker, Brent Tan, Hannes Vogel, Puneet Singh Waraich, Eric Yang, April Young, Ann Folkins
Summary: Validation and implementation of whole slide imaging (WSI) at a large academic medical center for various subspecialties showed high diagnostic concordance rates and improved patient care during the COVID-19 pandemic. Flexible workflows and tailored solutions were necessary for successful adoption of WSI at scale.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2023)
Article
Medicine, General & Internal
JaeYen Song, Soyoung Im, Sung Hak Lee, Hyun-Jong Jang
Summary: This study tested the feasibility of using deep learning for classification of subtypes of cervical and endometrial cancers, as well as the origin of adenocarcinomas. The results demonstrated that DL-based classifiers can effectively discriminate different types of cancers, and it is expected that the performance will improve with more data accumulation.
Article
Biochemical Research Methods
Ning Li, Tao Lv, Yulin Sun, Xiuli Liu, Shaoqun Zeng, Xiaohua Lv
Summary: A high throughput slanted scanning WSI system was developed to acquire multi-layer image data simultaneously with the slide surface slanted relative to the focal plane. By moving the slide, image fusion helped avoid defocus blur and demonstrated high quality and fast imaging of cytological and histological slide specimens without aberration correction, showing potential for efficient application in digital pathology.
JOURNAL OF BIOPHOTONICS
(2021)
Article
Medical Laboratory Technology
Andrew J. Evans, Richard W. Brown, Marilyn M. Bui, Elizabeth A. Chlipala, Christina Lacchetti, Danny A. Milner, Liron Pantanowitz, Anil Parwani, Kearin Reid, Michael W. Riben, Victor E. Reuter, Lisa Stephens, Rachel L. Stewart, Nicole E. Thomas
Summary: This article summarizes the updated guidelines for validating whole slide imaging systems used for diagnostic purposes. Through a systematic review of literature, three strong recommendations and nine good practice statements are provided.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2022)
Article
Medicine, General & Internal
M. Paucar, J. Lundin, T. Alshammari, A. Bergendal, M. Lindefeldt, M. Alshammari, G. Solders, J. Di Re, I. Savitcheva, T. Granberg, F. Laezza, E. Iwarsson, P. Svenningsson
JOURNAL OF INTERNAL MEDICINE
(2020)
Letter
Oncology
Elina S. Rantala, Micaela M. Hernberg, Mikael Lundin, Johan Lundin, Tero T. Kivela
Article
Oncology
George Kafatos, Victoria Banks, Peter Burdon, David Neasham, Caroline Anger, Fil Manuguid, Kimberly A. Lowe, Patrick Cheung, Julien Taieb, Joannes Han van Krieken
Summary: The study found an increasing trend in biomarker testing among mCRC patients in five European countries over time. RAS testing was conducted in the majority of patients, while BRAF and MSI testing also saw a rise in frequency. These findings are crucial for guiding treatment decisions based on cancer genetic profiles.
Article
Multidisciplinary Sciences
Dmitrii Bychkov, Nina Linder, Aleksei Tiulpin, Hakan Kuecuekel, Mikael Lundin, Stig Nordling, Harri Sihto, Jorma Isola, Tiina Lehtimaeki, Pirkko-Liisa Kellokumpu-Lehtinen, Karl von Smitten, Heikki Joensuu, Johan Lundin
Summary: This study utilized deep learning to analyze image data of breast cancer patients, finding that machine learning predicted gene amplification correlated with distant disease-free survival. Patients with higher than median morphology scores had more favorable survival when receiving anti-ERBB2 treatment.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Sebastian Stenman, Dmitrii Bychkov, Hakan Kucukel, Nina Linder, Caj Haglund, Johanna Arola, Johan Lundin
Summary: The study proposed a novel method for segmenting leukocytes in PTCs using a trained CNN algorithm. By utilizing IHC guided annotations for generating antibody supervised annotations, high accuracy segmentations of leukocytes in HE tissue images were achieved.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Oncology
I van den Berg, S. van de Weerd, D. van Klaveren, R. R. J. Coebergh van den Braak, J. H. J. M. van Krieken, M. Koopman, J. M. L. Roodhart, J. P. Medema, J. N. M. IJzermans
Summary: This study revealed significant variation in guideline adherence to adjuvant chemotherapy among stage III colon cancer patients, with poor documentation on reasons for non-adherence. Patients who received adjuvant chemotherapy had longer recurrence free survival (RFS), and high T- and N-stage were associated with poorer RFS. Risk groups were identified with distinct prognosis and treatment effect, emphasizing the importance of adherence to guidelines for improved patient outcomes.
Article
Medicine, General & Internal
Oscar Holmstrom, Nina Linder, Harrison Kaingu, Ngali Mbuuko, Jumaa Mbete, Felix Kinyua, Sara Tornquist, Martin Muinde, Leena Krogerus, Mikael Lundin, Vinod Diwan, Johan Lundin
Summary: This study aimed to determine the feasibility of implementing artificial intelligence-supported digital microscopy diagnostics in a resource-limited setting for the analysis of Pap smear samples. The findings showed that the system was highly sensitive in detecting cervical cellular atypia, especially for high-grade lesions, suggesting that advanced digital microscopy diagnostics with AI support can be effectively used in rural areas for cervical cancer screening.
Article
Cell Biology
Tuomas Kaprio, Hannu Sariola, Nina Linder, Johan Lundin, Juha Kere, Caj Haglund, Satu Wedenoja
Summary: This study explored the role of HLA-G in colorectal carcinoma (CRC) and found that HLA-G expression was associated with better differentiation and non-mucinous histology in tumors, but did not have prognostic value on its own.
Article
Biochemistry & Molecular Biology
Julia Moran-Sanchez, Antonio Santisteban-Espejo, Miguel Angel Martin-Piedra, Jose Perez-Requena, Marcial Garcia-Rojo
Summary: Genomic analysis and digitalization of medical records have brought about a big data scenario in hematopathology, with artificial intelligence and machine learning tools increasingly utilized in integrating clinical, histopathological, and genomic data in lymphoid neoplasms. The global production in this field is predicted to triple by 2031, with current research focused on the integration of digital image analysis and genomic sequencing in Non-Hodgkin lymphomas, chemotherapy response prediction, and new prognostic model validation.
Article
Virology
Antonio Santisteban-Espejo, Jose Perez-Requena, Lidia Atienza-Cuevas, Julia Moran-Sanchez, Maria del Carmen Fernandez-Valle, Irene Bernal-Florindo, Raquel Romero-Garcia, Marcial Garcia-Rojo
Summary: The study evaluated the impact of EBV-LMP1 expression on the survival of cHL patients. The prognostic role of EBV in cHL may be influenced by various factors, emphasizing the importance of early identification of prognostic biomarkers for guiding personalized therapeutic decisions.
Review
Oncology
Khalid El Bairi, Harry R. Haynes, Elizabeth Blackley, Susan Fineberg, Jeffrey Shear, Sophia Turner, Juliana Ribeiro de Freitas, Daniel Sur, Luis Claudio Amendola, Masoumeh Gharib, Amine Kallala, Indu Arun, Farid Azmoudeh-Ardalan, Luciana Fujimoto, Luz F. Sua, Shi-Wei Liu, Huang-Chun Lien, Pawan Kirtani, Marcelo Balancin, Hicham El Attar, Prerna Guleria, Wenxian Yang, Emad Shash, I-Chun Chen, Veronica Bautista, Jose Fernando Do Prado Moura, Bernardo L. Rapoport, Carlos Castaneda, Eunice Spengler, Gabriela Acosta-Haab, Isabel Frahm, Joselyn Sanchez, Miluska Castillo, Najat Bouchmaa, Reena R. Md Zin, Ruohong Shui, Timothy Onyuma, Wentao Yang, Zaheed Husain, Karen Willard-Gallo, An Coosemans, Edith A. Perez, Elena Provenzano, Paula Gonzalez Ericsson, Eduardo Richardet, Ravi Mehrotra, Sandra Sarancone, Anna Ehinger, David L. Rimm, John M. S. Bartlett, Giuseppe Viale, Carsten Denkert, Akira I. Hida, Christos Sotiriou, Sibylle Loibl, Stephen M. Hewitt, Sunil Badve, William Fraser Symmans, Rim S. Kim, Giancarlo Pruneri, Shom Goel, Prudence A. Francis, Gloria Inurrigarro, Rin Yamaguchi, Hernan Garcia-Rivello, Hugo Horlings, Said Afqir, Roberto Salgado, Sylvia Adams, Marleen Kok, Maria Vittoria Dieci, Stefan Michiels, Sandra Demaria, Sherene Loi
Summary: The use of immune-checkpoint inhibitors has significantly improved survival in cancer patients, including a subgroup of women with breast cancer who may benefit from this treatment. Studies have shown that tumor-infiltrating lymphocytes are associated with response to both cytotoxic treatments and immunotherapy, particularly in patients with triple-negative breast cancer.
Review
Medicine, General & Internal
Antonio Santisteban-Espejo, Irene Bernal-Florindo, Jose Perez-Requena, Lidia Atienza-Cuevas, Julia Moran-Sanchez, Maria del Carmen Fernandez-Valle, Raquel Romero-Garcia, Marcial Garcia-Rojo
Summary: This study systematically reviews the current state of NGS studies of cHL, emphasizing the need for standardization in candidate genes and bioinformatic pipelines. Comparing and reviewing the major findings of this ongoing research area could be valuable for centers that routinely perform diagnostic, monitoring, and genotyping strategies in cHL samples.
Article
Multidisciplinary Sciences
Sebastian Stenman, Nina Linder, Mikael Lundin, Caj Haglund, Johanna Arola, Johan Lundin
Summary: In this study, we aim to train a deep learning algorithm to detect and quantify the proportion of tall cells in papillary thyroid carcinoma.
Article
Cardiac & Cardiovascular Systems
Mae Azeez, Mirjami Laivuori, Johanna Tolva, Nina Linder, Johan Lundin, Anders Albaeck, Maarit Venermo, Mikko I. Maeyraenpaeae, Marja-Liisa Lokki, A. Inkeri Lokki, Juha Sinisalo
Summary: This study analyzed the relative area of nodular and sheet calcification in femoral artery plaques and compared them to the clinical presentation of lower extremity arterial disease (LEAD). The results showed that a larger amount of nodular calcification is associated with less severe LEAD, suggesting that patients with nodular calcification may still have good blood flow despite local obstruction.
BMC CARDIOVASCULAR DISORDERS
(2022)
Article
Ophthalmology
Klaus Kessel, Jaakko Mattila, Nina Linder, Tero Kivela, Johan Lundin
OCULAR ONCOLOGY AND PATHOLOGY
(2020)
