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1.
Nat Methods ; 21(6): 1103-1113, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38532015

ABSTRACT

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different experimental settings. Here, we present a multimodality cell segmentation benchmark, comprising more than 1,500 labeled images derived from more than 50 diverse biological experiments. The top participants developed a Transformer-based deep-learning algorithm that not only exceeds existing methods but can also be applied to diverse microscopy images across imaging platforms and tissue types without manual parameter adjustments. This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.


Subject(s)
Algorithms , Deep Learning , Image Processing, Computer-Assisted , Single-Cell Analysis , Single-Cell Analysis/methods , Image Processing, Computer-Assisted/methods , Humans , Microscopy/methods , Animals
2.
Sleep Med ; 53: 16-21, 2019 01.
Article in English | MEDLINE | ID: mdl-30384137

ABSTRACT

OBJECTIVE: Childhood sleep-related rhythmic movement disorder (RMD) (ie, sleep-related repetitive movements involving large muscle groups) can impair sleep quality, cause local injury, and disturb household members. Previous parental reports indicate prevalence rates in children under three years of age between 5.5 and 67%. We studied the prevalence of RMD with objective home videosomnography. METHODS: Parents of 707 children having their one-year routine health check (357 male), 740 children having their two-year health check (395 male), and 17 children of unknown age (nine male), were asked if their child showed sleep-related rhythmic movements. If telephone interview confirmed likely RMD, parents completed a standardised clinical questionnaire and three nights of home videosomnography. RESULTS: At the one-year health check, 31/707 possible cases of RMD were identified [maximal prevalence: 4.38%; 95% CI (2.81, 5.89)] compared to 11/740 at the two-year check [maximal prevalence: 1.49%, 95% CI (0.61, 2.36)]. Of 42 possible cases, nine had resolved; 14 were uncontactable, or did not wish to participate, and four did not complete the study protocol. In four of 10 remaining one-year olds and four of five remaining two-year olds parental report was objectively confirmed by videosomnography. Minimal prevalence based on objective observation was therefore 0.28% [95% CI (0.08, 1.30)] at one-year check and 0.41% [95% CI (0.08, 1.24)] at two-year check. CONCLUSIONS: Prevalence of RMD in a large population of infants and toddlers was lower than previously reported (maximum prevalence 2.87%, minimum prevalence 0.34%). It is important to confirm parental report using objective measures.


Subject(s)
Polysomnography , Sleep-Wake Transition Disorders/epidemiology , Videotape Recording , Child, Preschool , Family/psychology , Female , Humans , Infant , Male , Prevalence , Sleep-Wake Transition Disorders/diagnosis , Surveys and Questionnaires
3.
J Child Neurol ; 20(7): 613-6, 2005 Jul.
Article in English | MEDLINE | ID: mdl-16159531

ABSTRACT

The Functional Independence Measure for Children (WeeFIM) is a simple tool for assessing the functional independence of three domains: mobility, self-care, and cognition. Children are usually apprehensive about performing standardized structured language or developmental tests, and only licensed professionals can administer standardized tests. We attempted to apply the Functional Independence Measure for Children for assessing children with developmental delay and to assess for any correlation of these scores with standardized language tests. We recruited 49 children with developmental delay, and the Functional Independence Measure for Children was administered. Two standardized language tests (Symbolic Play Test and Reynell Language Developmental Scale) were administered to assess language age. There was a significant correlation between Functional Independence Measure for Children scores with both verbal comprehension age and verbal expression age. There was no correlation of Functional Independence Measure for Children scores with gender, age, or having domestic helpers. Having trained staff administer the Functional Independence Measure for Children can reliably correlate the current language ability of a child with developmental delay; thus, the test can be used as a quick screening tool for targeted training.


Subject(s)
Developmental Disabilities/physiopathology , Developmental Disabilities/psychology , Language Tests , Neuropsychological Tests , Activities of Daily Living , Child, Preschool , Cognition/physiology , Cohort Studies , Cross-Sectional Studies , Female , Humans , Infant , Male , Motor Activity/physiology , Pilot Projects , Reproducibility of Results
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