Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations
Abstract Automation has been developed and continues to be refined for cytogenetics, including advances in the processing of samples, in analysis of conventional chromosome and fluorescence in situ hybridization (FISH) testing, and with artificial intelligence. Here we provide an overview of the var...
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| Format: | Article |
| Language: | English |
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BMC
2025-06-01
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| Series: | Molecular Cytogenetics |
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| Online Access: | https://doi.org/10.1186/s13039-025-00716-5 |
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| author | Cecelia Miller Jennie Thurston Ninette Cohen |
| author_facet | Cecelia Miller Jennie Thurston Ninette Cohen |
| author_sort | Cecelia Miller |
| collection | DOAJ |
| description | Abstract Automation has been developed and continues to be refined for cytogenetics, including advances in the processing of samples, in analysis of conventional chromosome and fluorescence in situ hybridization (FISH) testing, and with artificial intelligence. Here we provide an overview of the various types of automation available to the cytogenetics laboratory and discuss possible benefits and limitations you may encounter based upon our collective experiences. |
| format | Article |
| id | doaj-art-8060d0da46c747acb24892f9c29f9240 |
| institution | DOAJ |
| issn | 1755-8166 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Molecular Cytogenetics |
| spelling | doaj-art-8060d0da46c747acb24892f9c29f92402025-08-20T03:21:06ZengBMCMolecular Cytogenetics1755-81662025-06-011811810.1186/s13039-025-00716-5Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitationsCecelia Miller0Jennie Thurston1Ninette Cohen2Department of Pathology, College of Medicine, The Ohio State University Wexner Medical CenterCytogenetics and Molecular Pathology, Atrium Health and CPG PathologyDepartment of Pathology and Laboratory Medicine, Division of Cytogenetics and Molecular Pathology, North Shore University Hospital and Long Island Jewish Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell HealthAbstract Automation has been developed and continues to be refined for cytogenetics, including advances in the processing of samples, in analysis of conventional chromosome and fluorescence in situ hybridization (FISH) testing, and with artificial intelligence. Here we provide an overview of the various types of automation available to the cytogenetics laboratory and discuss possible benefits and limitations you may encounter based upon our collective experiences.https://doi.org/10.1186/s13039-025-00716-5CytogeneticsChromosome analysisFluorescence in situ hybridization (FISH)AutomationRoboticsArtificial intelligence (AI) |
| spellingShingle | Cecelia Miller Jennie Thurston Ninette Cohen Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations Molecular Cytogenetics Cytogenetics Chromosome analysis Fluorescence in situ hybridization (FISH) Automation Robotics Artificial intelligence (AI) |
| title | Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations |
| title_full | Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations |
| title_fullStr | Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations |
| title_full_unstemmed | Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations |
| title_short | Incorporating automation in a cytogenetics laboratory: three practitioners’ perspectives on benefits and limitations |
| title_sort | incorporating automation in a cytogenetics laboratory three practitioners perspectives on benefits and limitations |
| topic | Cytogenetics Chromosome analysis Fluorescence in situ hybridization (FISH) Automation Robotics Artificial intelligence (AI) |
| url | https://doi.org/10.1186/s13039-025-00716-5 |
| work_keys_str_mv | AT ceceliamiller incorporatingautomationinacytogeneticslaboratorythreepractitionersperspectivesonbenefitsandlimitations AT jenniethurston incorporatingautomationinacytogeneticslaboratorythreepractitionersperspectivesonbenefitsandlimitations AT ninettecohen incorporatingautomationinacytogeneticslaboratorythreepractitionersperspectivesonbenefitsandlimitations |