☆ 4.6 Editorial Material

Organs-on-chip: The way forward

STEM CELL REPORTS (2021)

Journal

STEM CELL REPORTS

Volume 16, Issue 9, Pages 2037-2043

Publisher

CELL PRESS

DOI: 10.1016/j.stemcr.2021.06.015

Keywords

-

Categories

Cell & Tissue Engineering Cell Biology

Funding

Netherlands Organ-on-Chip Initiative, an NWO gravitation project - Ministry of Education, Cul-ture and Science of the government of the Netherlands [024.003.001]
Moore4Medical project - ECSEL Joint Undertaking [H2020-ECSEL-2019-IA-876190]

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Automated Summary New
Abstract

Organ-on-chip (OoC) technology is thriving due to the availability of stem cells and international OoC programs. Coordinated standardization, qualification, and independent testing of devices are needed to further develop OoC technology and maximize its potential in drug development, disease modeling, and personalized medicine. The OoC roadmap can guide the way forward.

Organ-on-chip (OoC) technology is thriving thanks to stem cells availability and international OoC programs. Concerted standardization, qualification, and independent testing of devices are needed to coherently develop OoC technology further and fulfill its potential in drug development, disease modeling, and personalized medicine. The OoC roadmap can lead the way forward.

Authors

I am an author on this paper

Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6

Not enough ratings

Secondary Ratings

Novelty

-

Significance

-

Scientific rigor

-

Rate this paper

Recommended

Review Biochemistry & Molecular Biology

Oncoimmunology Meets Organs-on-Chip

Fabrizio Mattei, Sara Andreone, Arianna Mencattini, Adele De Ninno, Luca Businaro, Eugenio Martinelli, Giovanna Schiavoni

Summary: The infiltration of immune cells in the tumor microenvironment is an early event that leads to the establishment of dynamic cross-talk. Immune cells sense antigenic cues to mount a specific anti-tumor response while cancer cells emit inhibitory signals to dampen it.

FRONTIERS IN MOLECULAR BIOSCIENCES (2021)

Add to Collection

Review Biotechnology & Applied Microbiology

Integration of immune cells in organs-on-chips: a tutorial

Lisette Van Os, Britta Engelhardt, Olivier T. Guenat

Summary: In order to develop new therapies for infections, understanding the human immune system during infection is crucial. Organ-on-chip models have proven to be valuable tools for tissue modeling, and incorporating an immune component is necessary to simulate complex biological responses. This tutorial review provides a practical guide on developing an organ-on-chip model to investigate immune cell migration during infection, including the design of the chip, establishment of chemotactic gradients, and incorporation of different cell types. The review also highlights the importance of the extracellular matrix in accurately modeling the interstitial space for immune cell migration.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2023)

Add to Collection

Review Biotechnology & Applied Microbiology

Organs-on-chips: into the next decade

Lucie A. Low, Christine Mummery, Brian R. Berridge, Christopher P. Austin, Danilo A. Tagle

Summary: OoCs, also known as microphysiological systems or 'tissue chips', have the potential to be informative at multiple stages of drug discovery and development, providing insights into normal human organ function and disease pathophysiology, as well as predicting the safety and efficacy of investigational drugs in humans. The field of OoCs has seen significant advances in recent years, but there are still challenges and opportunities that need to be addressed to fully realize their potential for translational research.

NATURE REVIEWS DRUG DISCOVERY (2021)

Add to Collection

Review Biotechnology & Applied Microbiology

PBPK Modeling on Organs-on-Chips: An Overview of Recent Advancements

Yi Yang, Yin Chen, Liang Wang, Shihui Xu, Guoqing Fang, Xilin Guo, Zaozao Chen, Zhongze Gu

Summary: The combination of organ-on-a-chip technology and physiologically based pharmacokinetic modeling has the potential to improve drug development and personalized medicine.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2022)

Add to Collection

Review Chemistry, Analytical

A Decade of Organs-on-a-Chip Emulating Human Physiology at the Microscale: A Critical Status Report on Progress in Toxicology and Pharmacology

Mario Rothbauer, Barbara E. M. Bachmann, Christoph Eilenberger, Sebastian R. A. Kratz, Sarah Spitz, Gregor Holl, Peter Ertl

Summary: Organ-on-a-chip technology has emerged as a crucial tool in pharmaceutical and toxicological research over the past decade, with the need for further validation in clinical and pharmaceutical settings.

MICROMACHINES (2021)

Add to Collection

Review Cell Biology

Controlling Microenvironments with Organs-on-Chips for Osteoarthritis Modelling

Louis Jun Ye Ong, Xiwei Fan, Antonia Rujia Sun, Lin Mei, Yi-Chin Toh, Indira Prasadam

Summary: Osteoarthritis (OA) is a prevalent disease worldwide, affecting over 20% of the population and leading to decreased quality of life for patients. Due to the complexity of mimicking joint tissue's physiological environment, the study of OA pathophysiology primarily relies on animal models. However, recent advancements in microfluidic organ-on-chip (OoC) systems have shown promise in replicating and manipulating tissue physiological environments. By adapting these techniques, it is possible to create human-specific in vitro models that accurately capture the cellular processes involved in OA. This review provides a comprehensive summary of various microfluidic platforms used to mimic joint microenvironments, with implications for future platform design iterations.

CELLS (2023)

Add to Collection

Review Chemistry, Analytical

Cystic Fibrosis Human Organs-on-a-Chip

Herbert Luke Ogden, Hoyeol Kim, Kathryn A. Wikenheiser-Brokamp, Anjaparavanda P. Naren, Kyu Shik Mun

Summary: Cystic fibrosis is a genetic disease with major clinical features including respiratory failure, pancreatic insufficiency, and intestinal disease. Differences between animal models and human CF patients present limitations to translational research. Organ-on-a-chip technology offers a promising approach to studying CF and may help overcome some of these limitations.

MICROMACHINES (2021)

Add to Collection

Review Engineering, Biomedical

The feasible application of microfluidic tissue/organ-on-a-chip as an impersonator of oral tissues and organs: a direction for future research

Nima Farshidfar, Sahar Assar, Mohammad Amin Amiri, Sarina Sahmeddini, Shahram Hamedani, Moein Zarei, Lobat Tayebi

Summary: Three-dimensional cell culture models have improved the simulation of cell behavior in imitating the body's conditions. Microfluidic tissues/organs-on-chips (TOOCs) provide a method of culturing cells in conditions similar to the body's physiology. While these structures have been developed for various tissues and organs, their application in oral and dental tissues is not widespread. The application of TOOCs for oral tissues can study interactions with dental biomaterials and accurately study the cellular interactions and developmental stages.

BIO-DESIGN AND MANUFACTURING (2023)

Add to Collection

Review Obstetrics & Gynecology

The prediction of preeclampsia: the way forward

Leslie Myatt

Summary: Despite intensive investigation, predicting, treating, or preventing preeclampsia remains challenging due to its heterogeneity and long-term effects on both the fetus and the mother. Efforts to predict early and treat with therapies such as low-dose aspirin or antioxidants have been hindered by the diverse presentation of preeclampsia. Identifying phenotypes and establishing international standards are crucial in order to develop effective prediction and treatment strategies.

AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2022)

Add to Collection

Article Public, Environmental & Occupational Health

HPV prevention and control-The way forward

Alex Vorsters, F. Xavier Bosch, Mario Poljak, Dur-E-Nayab Waheed, Margaret Stanley, Suzanne M. Garland

Summary: The COVID-19 pandemic has created opportunities for HPV prevention and control, but also poses potential public health threats. Existing resources and experiences should be utilized to continue promoting HPV vaccination and testing to prevent HPV-related cancers.

PREVENTIVE MEDICINE (2022)

Add to Collection

Editorial Material Hematology

DARTs point the way forward in AML Comment

Saar Gill

Summary: The study reported the results of a multicenter phase 1/2 trial using a CD3 epsilon x 3 CD123 bispecific drug, flotetuzumab, in AML patients. The drug belongs to a class of dual affinity retargeting proteins (DARTs) that bring together T cells with CD123-expressing AML blasts. CD123, although not unique to AML blasts and also expressed on some normal hematopoietic cell populations, remains a leading potential cell surface target for immunotherapy in AML.

BLOOD (2021)

Add to Collection

Review Pharmacology & Pharmacy

Modeling mucus physiology and pathophysiology in human organs-on- chips

Zohreh Izadifar, Alexandra Sontheimer-Phelps, Bob A. Lubamba, Haiqing Bai, Cicely Fadel, Anna Stejskalova, Alican Ozkan, Queeny Dasgupta, Amir Bein, Abidemi Junaid, Aakanksha Gulati, Gautam Mahajan, Seongmin Kim, Nina T. LoGrande, Arash Naziripour, Donald E. Ingber

Summary: Studying mucus biology has been challenging due to the lack of physiologically relevant human in vitro models. However, recent progress has been made in the development of human organ-on-a-chip microfluidic culture models, focusing on the lung, colon, small intestine, cervix, and vagina. These models can reconstitute epithelial tissue barriers and physiologically relevant mucus layers, allowing for the study of mucus composition, mechanics, and structure in a biomimetic environment.

ADVANCED DRUG DELIVERY REVIEWS (2022)

Add to Collection

Article Biophysics

Organs-on-chips technologies-A guide from disease models to opportunities for drug development

Anna Grazia Monteduro, Silvia Rizzato, Giusi Caragnano, Adriana Trapani, Gianluigi Giannelli, Giuseppe Maruccio

Summary: Current in-vitro 2D cultures and animal models have limitations in recapitulating human physiology, but microphysiological systems and organ-on-chip technologies are emerging as novel tools for high-throughput research and drug development. This review provides an introduction to major themes in this field and discusses the significance, limitations, and future prospects of these technologies.

BIOSENSORS & BIOELECTRONICS (2023)

Add to Collection

Review Materials Science, Multidisciplinary

Review on advances in porous Al composites and the possible way forward

Bisma Parveez, Nur Ayuni Jamal, Abdul Maleque, Farazila Yusof, Nashrah Hani Jamadon, Sharifah Adzila

Summary: Porous aluminum composites, lightweight and high-strength, have great potential for applications in structural construction and automobile manufacturing. While aluminum foams excel in automobile crashworthiness and lightweight structures, there are still limitations and opportunities for enhancement.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2021)

Add to Collection

Article Thermodynamics

Analyses of energy-GDP-export nexus: The way-forward

Muhammad Shakeel

Summary: Studies show that in the energy-GDP nexus, some support the growth hypothesis, some support the feedback hypothesis, and a small portion support the neutrality hypothesis. It is important to be cautious when implementing energy conservation options without introducing structural breaks, and breaking down energy inputs into components can provide more detailed information on the role of exports in the energy-GDP relationship.

ENERGY (2021)

Add to Collection

Article Computer Science, Information Systems

Industrial Control Systems Security via Runtime Enforcement

Ruggero Lanotte, Massimo Merro, Andrei Munteanu

Summary: With the advent of Industry 4.0, industrial facilities and critical infrastructures are transforming into a heterogeneous ecosystem of physical and cyber components. This article proposes a formal approach based on runtime enforcement to ensure compliance in networks of controllers that may be compromised by colluding malware. The approach relies on an edit automata subclass to enforce controllers represented in a Timed Process Language and includes a synthesis algorithm to generate monitors that enforce specified properties during controller execution.

ACM TRANSACTIONS ON PRIVACY AND SECURITY (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid preparation XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies

E. Merlin, M. Castellano, H. Bretonniere, M. Huertas-Company, U. Kuchner, D. Tuccillo, F. Buitrago, J. R. Peterson, C. J. Conselice, F. Caro, P. Dimauro, L. Nemani, A. Fontana, M. Kuemmel, B. Haussler, W. G. Hartley, A. Alvarez Ayllon, E. Bertin, P. Dubath, F. Ferrari, L. Ferreira, R. Gavazzi, D. Hernandez-Lang, G. Lucatelli, A. S. G. Robotham, M. Schefer, C. Tortora, N. Aghanim, A. Amara, L. Amendola, N. Auricchio, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, J. Dinis, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, M. Frailis, E. Franceschi, P. Franzetti, S. Galeotta, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, H. Hoekstra, W. Holmes, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnke, S. Kermiche, A. Kiessling, T. Kitching, R. Kohley, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, H. J. McCracken, E. Medinaceli, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, J. Skottfelt, J. -L. Starck, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, I. Tutusaus, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, J. Zoubian, S. Andreon, S. Bardelli, A. Boucaud, C. Colodro-Conde, D. Di Ferdinando, J. Gracia-Carpio, V. Lindholm, N. Mauri, S. Mei, C. Neissner, V. Scottez, A. Tramacere, E. Zucca, C. Baccigalupi, A. Balaguera-Antolinez, M. Ballardini, F. Bernardeau, A. Biviano, S. Borgani, A. S. Borlaff, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, A. R. Cooray, J. Coupon, H. M. Courtois, O. Cucciati, S. Davini, G. De Lucia, G. Desprez, J. A. Escartin, S. Escoffier, M. Farina, K. Ganga, J. Garcia-Bellido, K. George, G. Gozaliasl, H. Hildebrandt, I. Hook, O. Ilbert, S. Ilic, B. Joachimi, V. Kansal, E. Keihanen, C. C. Kirkpatrick, A. Loureiro, J. Macias-Perez, M. Magliocchetti, G. Mainetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, S. Matthew, M. Maturi, R. B. Metcalf, P. Monaco, G. Morgante, S. Nadathur, A. A. Nucita, L. Patrizii, V. Popa, C. Porciani, D. Potter, A. Pourtsidou, M. Pontinen, P. Reimberg, A. G. Sanchez, Z. Sakr, M. Schirmer, M. Sereno, J. Stadel, R. Teyssier, C. Valieri, J. Valiviita, S. E. van Mierlo, A. Veropalumbo, M. Viel, J. R. Weaver, D. Scott

Summary: The Euclid mission of the European Space Agency aims to provide high-quality imaging for 1.5 billion galaxies. A software pipeline is being developed to process and analyze the massive amount of data in real time, including a model-fitting algorithm for important photometric and morphological estimates. The Euclid Morphology Challenge compares five model-fitting software packages on simulated data to identify the best algorithm for implementation.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid: Testing the Copernican principle with next-generation surveys

D. Camarena, V. Marra, Z. Sakr, S. Nesseris, A. Da Silva., J. Garcia-Bellido., P. Fleury., L. Lombriser, M. Martinelli, C. J. A. P. Martins, J. Mimoso, D. Sapone, C. Clarkson, S. Camera, C. Carbone, S. Casas, S. Ilic, V. Pettorino, I. Tutusaus, N. Aghanim, B. Altieri, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, G. P. Candini, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, H. Degaudenzi, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Farrens, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, A. Kiessling, R. Kohley, M. Kunz, H. Kurki-Suonio, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, F. Marulli, R. Massey, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, J. Rhodes, G. Riccio, H. -w. Rix, E. Rossetti, R. Saglia, B. Sartoris, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, C. Surace, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, G. Zamorani, J. Zoubian, S. Andreon, V. Scottez, M. Tenti

Summary: This paper investigates the precision and ability of future surveys to test the Copernican principle and detect possible violations. The results show that next-generation surveys, such as Euclid, will thoroughly test homogeneity at large scales and tighten the constraints on possible violations of the Copernican principle.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

A. Humphrey, L. Bisigello, P. A. C. Cunha, M. Bolzonella, S. Fotopoulou, K. Caputi, C. Tortora, G. Zamorani, P. Papaderos, D. Vergani, J. Brinchmann, M. Moresco, A. Amara, N. Auricchio, M. Baldi, R. Bender, D. Bonino, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, M. Frailis, E. Franceschi, M. Fumana, P. Gomez-Alvarez, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, L. Guzzo, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, M. Kuemmel, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, R. Kohley, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Maurogordato, H. J. McCracken, E. Medinaceli, M. Melchior, M. Meneghetti, E. Merlin, G. Meylan, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, J. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, M. Poncet, L. Popa, L. Pozzetti, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, R. Scaramella, P. Schneider, M. Scodeggio, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, P. Tallada-Crespi, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, J. Zoubian, S. Andreon, S. Bardelli, A. Boucaud, R. Farinelli, J. Gracia-Carpio, D. Maino, N. Mauri, S. Mei, N. Morisset, F. Sureau, M. Tenti, A. Tramacere, E. Zucca, C. Baccigalupi, A. Balaguera-Antolinez, A. Biviano, A. Blanchard, S. Borgani, E. Bozzo, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, C. Colodro-Conde, A. R. Cooray, J. Coupon, H. M. Courtois, O. Cucciati, S. Davini, G. De Lucia, H. Dole, J. A. Escartin, S. Escoffier, M. Fabricius, M. Farina, F. Finelli, K. Ganga, J. Garcia-Bellido, K. George, F. Giacomini, G. Gozaliasl, I. Hook, M. Huertas-Company, B. Joachimi, V. Kansal, A. Kashlinsky, E. Keihanen, C. C. Kirkpatrick, V. Lindholm, G. Mainetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, M. Maturi, R. B. Metcalf, G. Morgante, A. A. Nucita, L. Patrizii, A. Peel, J. E. Pollack, V. Popa, C. Porciani, D. Potter, P. Reimberg, A. G. Sanchez, M. Schirmer, M. Schultheis, V. Scottez, E. Sefusatti, J. Stadel, R. Teyssier, C. Valieri, J. Valiviita, M. Viel, F. Calura, H. Hildebrandt

Summary: The Euclid Space Telescope will provide deep imaging and spectroscopy across a large area of the sky, enabling the detection of billions of astronomical sources. To analyze this vast dataset, a novel machine-learning-based methodology called ARIADNE pipeline has been developed. This pipeline combines multiple learning methods to achieve higher accuracy in classifying quiescent galaxies and deriving photometric redshifts.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid preparation XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies

H. Bretonniere, U. Kuchner, M. Huertas-Company, E. Merlin, M. Castellano, D. Tuccillo, F. Buitrago, C. J. Conselice, A. Boucaud, B. Haeussler, M. Kuemmel, W. G. Hartley, A. Alvarez Ayllon, E. Bertin, F. Ferrari, L. Ferreira, R. Gavazzi, D. Hernandez-Lang, G. Lucatelli, A. S. G. Robotham, M. Schefer, L. Wang, R. Cabanac, H. Dominguez Sanchez, P. -A. Duc, S. Fotopoulou, S. Kruk, A. La Marca, B. Margalef-Bentabol, F. R. Marleau, C. Tortora, N. Aghanim, A. Amara, N. Auricchio, R. Azzollini, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, J. Dinis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, H. Hoekstra, W. Holmes, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnke, S. Kermiche, A. Kiessling, R. Kohley, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, H. J. McCracken, E. Medinaceli, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. Percival, V. Pettorino, G. Polenta, M. Poncet, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, C. Rosset, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, J. Skottfelt, J. -L. Starck, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, S. Bardelli, C. Colodro-Conde, D. Di Ferdinando, J. Gracia-Carpio, V. Lindholm, N. Mauri, S. Mei, V. Scottez, E. Zucca, C. Baccigalupi, M. Ballardini, F. Bernardeau, A. Biviano, S. Borgani, A. S. Borlaff, C. Burigana, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, A. R. Cooray, J. Coupon, H. M. Courtois, S. Davini, G. De Lucia, G. Desprez, J. A. Escartin, S. Escoffier, M. Fabricius, M. Farina, A. Fontana, K. Ganga, J. Garcia-Bellido, K. George, G. Gozaliasl, H. Hildebrandt, I. Hook, O. Ilbert, S. Ilic, B. Joachimi, V. Kansal, E. Keihanen, C. C. Kirkpatrick, A. Loureiro, J. Macias-Perez, M. Magliocchetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, M. Maturi, P. Monaco, G. Morgante, S. Nadathur, A. A. Nucita, L. Patrizii, V. Popa, C. Porciani, D. Potter, A. Pourtsidou, M. Poentinen, P. Reimberg, A. G. Sanchez, Z. Sakr, M. Schirmer, E. Sefusatti, M. Sereno, J. Stadel, R. Teyssier, J. Valiviita, S. E. van Mierlo, A. Veropalumbo, M. Viel, J. R. Weaver, D. Scott

Summary: The surveys conducted by Euclid will serve as a reference for the study of galaxy morphology, providing imaging over an unprecedented area. This paper evaluates the accuracy of parametric galaxy morphology measurements in imaging predicted from within the Euclid Wide Survey. It is concluded that the official Euclid Data Releases will deliver robust structural parameters for at least 400 million galaxies in the Euclid Wide Survey.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid: Forecasts from the void-lensing cross-correlation

M. Bonici, C. Carbone, S. Davini, P. Vielzeuf, L. Paganin, V. Cardone, N. Hamaus, A. Pisani, A. J. Hawken, A. Kovacs, S. Nadathur, S. Contarini, G. Verza, I. Tutusaus, F. Marulli, L. Moscardini, M. Aubert, C. Giocoli, A. Pourtsidou, S. Camera, S. Escoffier, A. Caminata, S. Di Domizio, M. Martinelli, M. Pallavicini, V. Pettorino, Z. Sakr, D. Sapone, G. Testera, S. Tosi, V. Yankelevich, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, A. Ealet, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, P. Gomez-Alvarez, B. Garilli, B. Gillis, A. Grazian, F. Grupp, L. Guzzo, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Kuemmel, S. Kermiche, A. Kiessling, M. Kilbinger, M. Kunz, H. Kurki-Suonio, R. Laureijs, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, R. Massey, E. Medinaceli, M. Melchior, M. Meneghetti, G. Meylan, M. Moresco, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, S. Pires, G. Polenta, M. Poncet, L. Popa, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, E. Rossetti, R. Saglia, B. Sartoris, M. Scodeggio, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, J. -L. Starck, C. Surace, P. Tallada-Crespi, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, E. A. Valentijn, L. Valenziano, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon

Summary: The Euclid space telescope will survey cosmic voids using galaxy samples and estimate its performance in utilizing photometric void clustering, galaxy weak lensing, and their cross-correlation. The study finds that the inclusion of the void-lensing cross-correlation signal enhances parameter constraints and improves the joint void clustering and galaxy lensing figure of merit. When combined with spectroscopic galaxy clustering, the study shows that the FoM increases significantly. The conclusion suggests that photometric void clustering and its cross-correlation with galaxy lensing should be utilized in the data analysis of the Euclid galaxy survey to improve its constraining power.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning☆

L. Cabayol, M. Eriksen, J. Carretero, R. Casas, F. J. Castander, E. Fernandez, J. Garcia-Bellido, E. Gaztanaga, H. Hildebrandt, H. Hoekstra, B. Joachimi, R. Miquel, C. Padilla, A. Pocino, E. Sanchez, S. Serrano, I. Sevilla, M. Siudek, P. Tallada-Crespi, N. Aghanim, A. Amara, N. Auricchio, M. Baldi, R. Bender, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, S. Farrens, P. Fosalba, M. Frailis, E. Franceschi, P. Franzetti, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnke, M. Kuemmel, S. Kermiche, A. Kiessling, M. Kilbinger, R. Kohley, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Mei, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, J. Rhodes, G. Riccio, C. Rosset, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, L. Stanco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. Valentijn, L. Valenziano, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, V. Scottez, A. Tramacere

Summary: Current and future imaging surveys require accurate estimation of photometric redshifts (photo-zs) for millions of galaxies. This paper investigates the improvement of broadband photo-z estimates by leveraging the synergies between narrow-band photometric data and large imaging surveys. A multi-task learning (MTL) network is applied to simultaneously predict broadband photo-z and narrow-band photometry from broadband photometry, resulting in a 13% increase in precision and a 40% reduction in outlier rate for photo-z predictions. MTL also reduces the bias for high-redshift galaxies and improves the redshift distributions. The application of this technique to deeper samples is crucial for future surveys such as Euclid or LSST.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

K. Naidoo, H. Johnston, B. Joachimi, J. L. van den Busch, H. Hildebrandt, O. Ilbert, O. Lahav, N. Aghanim, B. Altieri, A. Amara, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, M. Cropper, A. Da Silva, H. Degaudenzi, J. Dinis, F. Dubath, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, P. Franzetti, M. Fumana, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Kuemmel, A. Kiessling, M. Kilbinger, T. Kitching, R. Kohley, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Maurogordato, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, R. Nakajima, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, C. Rosset, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, C. Sirignano, G. Sirri, J. -l. Starck, C. Surace, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, M. Wetzstein, A. Zacchei, G. Zamorani, J. Zoubian, S. Andreon, D. Maino, V. Scottez, A. H. Wright

Summary: Cosmological constraints from the Euclid imaging survey rely on accurate determination of tomographic redshift bins' true redshift distributions, n(z). We investigate the calibration of mean redshift, < z >, of ten Euclid tomographic redshift bins using cross-correlation with spectroscopic samples. Our results show that clustering redshifts can attain uncertainties exceeding the Euclid requirement by at least a factor of three, but systematic biases limit the accuracy. Future work includes extending the method to higher redshifts with quasar reference samples.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Correction Astronomy & Astrophysics

On the Use of Field RR Lyrae as Galactic Probes. V. Optical and Radial Velocity Curve Templates (vol 919, 85, 2021)

V. F. Braga, J. Crestani, M. Fabrizio, G. Bono, C. Sneden, G. W. Preston, J. Storm, S. Kamann, M. Latour, H. Lala, B. Lemasle, Z. Prudil, G. Altavilla, B. Chaboyer, M. Dall'Ora, I. Ferraro, C. K. Gilligan, G. Fiorentino, G. Iannicola, L. Inno, S. Kwak, M. Marengo, S. Marinoni, P. M. Marrese, C. E. Martinez-Vazquez, M. Monelli, J. P. Mullen, N. Matsunaga, J. Neeley, P. B. Stetson, E. Valenti, M. Zoccali

ASTROPHYSICAL JOURNAL (2023)

Add to Collection

Article Engineering, Biomedical

Comparison and Integration of Voltage and Charge Amplifiers for Capacitive ECG Measurements

Yijing Zhang, Lin Xu, Myrthe van der Ven, Sotir Ouzounov, Mohammed Meftah, Massimo Mischi, Eugenio Cantatore, Pieter Harpe

Summary: This paper introduces a VA-CA switchable amplifier that can adapt to different situations and passively estimate the body-to-electrode capacitance (C-e). The study found that VAs are less affected by C-e variation artifacts, while CAs recover faster from triboelectricity artifacts. The results show that this structure has the potential for optimal amplifier selection and provides additional information on the body-to-electrode interface quality (C-e estimation).

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data

Tom Bakkes, Anouk van Diepen, Ashley De Bie, Leon Montenij, Francesco Mojoli, Arthur Bouwman, Massimo Mischi, Pierre Woerlee, Simona Turco

Summary: An automatic detection and classification algorithm for patient-ventilator asynchrony (PVA) was developed using a neural network and simulated data. The algorithm achieved over 90% accuracy in detecting and classifying PVAs, providing a tool to optimize mechanical ventilation and monitor ventilation strategies.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2023)

Add to Collection

Article Astronomy & Astrophysics

Properties and observables of massive galaxies in self-interacting dark matter cosmologies

Claudio Mastromarino, Giulia Despali, Lauro Moscardini, Andrew Robertson, Massimo Meneghetti, Matteo Maturi

Summary: We tested the differences between cold dark matter (CDM) and self-interacting dark matter (SIDM) models in the mass range of massive galaxies using hydrodynamic cosmological simulations. The inclusion of baryons erased the differences between SIDM and CDM density profiles observed in the dark-matter-only case. We also found that the distributions of strong lensing Einstein radii derived from CDM and SIDM simulations were comparable to observational samples. The discrimination between CDM and SIDM models is challenging at this mass scale, but the deviations of SIDM from CDM can still be found by considering the dark matter/baryonic fractions separately.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

Add to Collection

Article Astronomy & Astrophysics

A Bayesian chemical evolution model of the DustPedia galaxy M74

Francesco Calura, Marco Palla, Laura Morselli, Emanuele Spitoni, Viviana Casasola, Kuldeep Verma, Andrea Enia, Massimo Meneghetti, Simone Bianchi, Francesca Pozzi, Carlotta Gruppioni

Summary: In this study, a new multizone chemical evolution model was introduced for the DustPedia galaxy M74, calibrated using Markov Chain Monte Carlo methods. The observed stellar and gas density profiles were taken into account, and Bayesian analysis was used to constrain two fundamental parameters characterizing the gas accretion and star formation time-scale. The results support an 'Inside-Out' formation for M74, with an infall time-scale increasing with galactocentric radius and a star formation efficiency decreasing with radius. The dust content of M74 was also investigated, and two models with different balances between destruction and accretion were found to reproduce the observed dust profile equally well.

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2023)

Add to Collection

Article Astronomy & Astrophysics

A persistent excess of galaxy-galaxy strong lensing observed in galaxy clusters

Massimo Meneghetti, Weiguang Cui, Elena Rasia, Gustavo Yepes, Ana Acebron, Giuseppe Angora, Pietro Bergamini, Stefano Borgani, Francesco Calura, Giulia Despali, Carlo Giocoli, Giovanni Granata, Claudio Grillo, Alexander Knebe, Andrea V. Maccio, Amata Mercurio, Lauro Moscardini, Priyamvada Natarajan, Antonio Ragagnin, Piero Rosati, Eros Vanzella

Summary: Previous studies have found an excess in the estimated probability of galaxy-galaxy strong lensing in observed galaxy clusters compared to the theoretical predictions. In this study, the researchers analyzed a larger set of simulated galaxy clusters and investigated how different implementations of star formation and feedback in simulations affect the theoretical expectations. The results show that the probability for galaxy-galaxy strong lensing is higher in simulations with denser stellar cores, but the discrepancy with observations still persists.

ASTRONOMY & ASTROPHYSICS (2023)

Add to Collection

Article Astronomy & Astrophysics

The GLASS-JWST Early Release Science Program. III. Strong-lensing Model of Abell 2744 and Its Infalling Regions

Pietro Bergamini, Ana Acebron, Claudio Grillo, Piero Rosati, Gabriel Bartosch Caminha, Amata Mercurio, Eros Vanzella, Charlotte Mason, Tommaso Treu, Giuseppe Angora, Gabriel B. Brammer, Massimo Meneghetti, Mario Nonino, Kristan Boyett, Marusa Bradac, Marco Castellano, Adriano Fontana, Takahiro Morishita, Diego Paris, Gonzalo Prieto-Lyon, Guido Roberts-Borsani, Namrata Roy, Paola Santini, Benedetta Vulcani, Xin Wang, Lilan Yang

Summary: We propose a new high-precision strong-lensing model for the galaxy cluster Abell 2744 at z = 0.3072, based on JWST observations, MUSE data, and spectroscopic confirmation. The improved lens model covers an extended redshift range and shows a remarkably low scatter between predicted and observed positions of multiple images. This precise model provides a reliable magnification map critical for understanding the intrinsic properties of highly magnified, high-z sources. The model and MUSE redshift catalog are released with this publication.

ASTROPHYSICAL JOURNAL (2023)

Add to Collection

No Data Available

© Peeref 2019-2024. All rights reserved.