2020
DOI: 10.3390/app10186187
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ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy

Abstract: Advances in microscopy imaging technologies have enabled the visualization of live-cell dynamic processes using time-lapse microscopy imaging. However, modern methods exhibit several limitations related to the training phases and to time constraints, hindering their application in the laboratory practice. In this work, we present a novel method, named Automated Cell Detection and Counting (ACDC), designed for activity detection of fluorescent labeled cell nuclei in time-lapse microscopy. ACDC overcomes the lim… Show more

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Cited by 12 publications
(13 citation statements)
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“…AC1 and AC5 are both expressed in the cortex and hippocampus [ 16 ]. However, these regions only show weak DA signal because of the small numbers of DA fibers [ 93 , 94 ], and the DA signal likely plays more modulatory roles with longer time constants (~10 min) [ 6 , 95 ]. Rather, in these brain regions, adenosine can show persistent and transient signals with a time range of ~5 s [ 96 , 97 ].…”
Section: Discussionmentioning
confidence: 99%
“…AC1 and AC5 are both expressed in the cortex and hippocampus [ 16 ]. However, these regions only show weak DA signal because of the small numbers of DA fibers [ 93 , 94 ], and the DA signal likely plays more modulatory roles with longer time constants (~10 min) [ 6 , 95 ]. Rather, in these brain regions, adenosine can show persistent and transient signals with a time range of ~5 s [ 96 , 97 ].…”
Section: Discussionmentioning
confidence: 99%
“…Quantitative imaging features (radiomics) were then extracted from the imaging studies [ 8 10 , 12 , 13 ]. The radiomics were computed with in-house developed software [ 7 , 14 ]. The MRI radiomics were extracted after intensity normalization [ 15 17 ], which is a pre-processing step deemed appropriate for minimizing inter-subject variance due to MRI scanner parameters.…”
Section: Methodsmentioning
confidence: 99%
“…co-occurrence matrices), and third-order joint probability features, originally described by our group (more details are in the supplementary material) [ 2 ]. The geometric, first-, and second-order features [ 10 ] are among the most commonly used features in the radiomics studies, while the third-order joint probability features have been developed by our group [ 7 ]. Radiomics studies use a wide range of features which they report on—from couple dozens to couple thousands.…”
Section: Methodsmentioning
confidence: 99%
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