6 results about "Embryonic growth?" patented technology

The invention discloses an embryo growth stage prediction method and system based on self-supervised learning, and the method comprises the following steps: collecting embryo images at different growth stages as a training set, and segmenting each embryo image in the training set into a plurality of blocks with the same size; randomly selecting half of the blocks from each embryo image for mask processing to obtain a mask training set; a prediction model comprising an encoder and a decoder is constructed, the encoder extracts a feature sequence from the mask training set, and the decoder reconstructs an embryo image according to the feature sequence; the kernel functions of the multiple weighted combinations serve as loss functions of the prediction model, the weight of each kernel function is adjusted through cross validation and gradient descent, parameters of the prediction model are adjusted and optimized through back propagation, and an optimal prediction model is obtained; and inputting a to-be-predicted embryo image into the optimal prediction model to obtain a growth stage prediction result of the embryo.

The invention relates to the technical field of feed additives, in particular to application of 5-HTP to improvement of reproductive performance of sows and growth performance of piglets. The feed containing 5-HTP is used for feeding the sow before delivery, the concentration of serotonin, acetic acid, propionic acid and butyric acid in colon of the sow can be increased, embryo growth can be promoted, the number of live piglets born by the sow and the weight of the live piglets are increased, and the problem that the reproduction and production performance is reduced due to slow development in uterus of the sow is solved.

The invention belongs to the technical field of biomedicine, and provides an automatic embryo culture and monitoring management system which comprises a gas supply module, an embryo culture module, an optical monitoring module and a liquid path assembly, and the gas supply module, the embryo culture module and the optical monitoring module are electrically connected in sequence; according to the invention, a plurality of gases required by embryo culture are provided through the gas supply module, and online precise adjustment of gas concentration is realized, so that the stability and controllability of an embryo culture environment are ensured, and the culture success rate is improved; meanwhile, the optical monitoring module monitors the embryo growth state in real time, an intelligent evaluation algorithm is introduced, and the monitoring precision and the intelligent level are improved; the liquid path assembly realizes on-line automatic replacement of the culture solution, and the replacement opportunity is optimized in combination with a prediction algorithm, so that the embryo growth is prevented from being influenced by the culture solution problem.

The utility model relates to a utensil for incubator temperature measurement, including dish main part, the inner bottom wall of dish main part is provided with the limiting structure, the dish mouth of dish main part top covers with lid body, the through -hole is set up in the lid body, and the position of through -hole and limiting structure is in vertical direction alignment setting, limiting structure includes at least two's limit snap ring, one's limit ring and a plurality of support column, and the limit gap is formed between adjacent two support columns, the bottom of a plurality of support columns is fixed in the inner bottom wall of dish main part, and the top of a plurality of support columns is fixed one's limit ring, and two's limit snap ring is fixed in the inner side wall of limit ring through respective connecting block. Staff can accurately measure the actual temperature in the drawer type incubator through the external temperature measuring meter without opening the drawer type incubator. According to the measurement actual result, can ensure whether the culture temperature meets the temperature required for embryo growth.

The invention belongs to the technical field of livestock breeding, and discloses a method for improving the timed insemination effect of replacement gilts, the replacement gilts of the right age are selected, 900-1100 IU PMSG is intramuscularly injected, a timed insemination procedure is started to be implemented after 15-18 days, and the timed insemination procedure comprises the following operation processes that altrenogest with the dosage of 20 mg / sow / day is continuously fed for 12 days, and then the replacement gilts of the right age are continuously fed for 12 days; after feeding of altrenogest is stopped for 42 h, PMSG of 900-1100 IU / head is subjected to intramuscular injection, GnRH of 100 micrograms / head is subjected to intramuscular injection after 80 h, first-time artificial insemination is carried out after 24 h, and second-time artificial insemination is carried out after 16 h. The invention discloses a method for improving the timed insemination effect of replacement gilts, which breaks through the conventional technical cognition, shortens the feeding time of altrenogest from 18 days to 12 days, not only obviously increases the oestrus uniformity of the replacement gilts and improves the hormone secretion condition of the replacement gilts, but also achieves the effect of improving the uterus development state of the gilts. A better environment is effectively provided for embryo development, and embryo growth is promoted.

The present invention discloses a method and system for predicting the embryonic growth stage based on self-supervised learning, which includes the following steps: collecting embryonic images at different growth stages as a training set, and dividing each embryonic image in the training set into a number of blocks of the same size; randomly selecting half of the blocks in each embryonic image for masking to obtain a masked training set; constructing a prediction model including an encoder and a decoder, where the encoder extracts a feature sequence from the masked training set, and the decoder reconstructs the embryonic image according to the feature sequence; using multiple weighted combined kernel functions as the loss function of the prediction model, adjusting the weight of each kernel function through cross-validation and gradient descent, and optimizing the parameters of the prediction model by backpropagation to obtain an optimal prediction model; inputting the embryonic image to be predicted into the optimal prediction model to obtain the prediction result of the embryonic growth stage.