TY - JOUR
T1 - Location Prediction of Sperm Cells Using Long Short-Term Memory Networks
AU - Noy, Lioz
AU - Barnea, Itay
AU - Dudaie, Matan
AU - Kamber, Dotan
AU - Levi, Mattan
AU - Shaked, Natan T.
N1 - Publisher Copyright:
© 2023 The Authors. Advanced Intelligent Systems published by Wiley-VCH GmbH.
PY - 2023/9
Y1 - 2023/9
N2 - Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus. Herein, a new model is proposed, which is based on a multilayer long short-term memory (LSTM) network combined with linear extrapolation calculation, for predicting the future location of individual sperm cells based on their previous paths. The model is trained with a unique loss function, constructed from the predicted location and trajectory, and results in low mean location error predictions. The results are based on comparing different input sequences length, number of time frames ahead, and motility parameters of sperm cells. This model can provide faster and more accurate sperm motility predictions, better tracking, and aid automatic sperm capturing technologies.
AB - Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus. Herein, a new model is proposed, which is based on a multilayer long short-term memory (LSTM) network combined with linear extrapolation calculation, for predicting the future location of individual sperm cells based on their previous paths. The model is trained with a unique loss function, constructed from the predicted location and trajectory, and results in low mean location error predictions. The results are based on comparing different input sequences length, number of time frames ahead, and motility parameters of sperm cells. This model can provide faster and more accurate sperm motility predictions, better tracking, and aid automatic sperm capturing technologies.
KW - deep learning
KW - location prediction
KW - long short term memory networks
KW - motility
KW - sperm cells
UR - http://www.scopus.com/inward/record.url?scp=85171704073&partnerID=8YFLogxK
U2 - 10.1002/aisy.202300161
DO - 10.1002/aisy.202300161
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85171704073
SN - 2640-4567
VL - 5
JO - Advanced Intelligent Systems
JF - Advanced Intelligent Systems
IS - 9
M1 - 2300161
ER -