Abstract: A system for removal of surrounding cells from a biological sample includes a pipette including a proximal section and a distal section with an opening configured to contact the biological sample. A suction channel, ending at the opening, is defined through the proximal and distal sections. A suction source is fluidly coupled with the pipette. The suction source is configured to create a negative pressure within the suction channel. A piezo actuator is mechanically coupled with the pipette. The piezo actuator is configured to drive piezo vibration of the pipette to remove ones of the surrounding cells.

Abstract: The invention relates to a method that allows a set of embryos to be ranked on the basis of ploidy potential and/or pregnancy generation potential, to aid the process of selecting embryos for transfer in an in-vitro fertilisation procedure. The method measures properties or characteristics of the entire blastocyst; extracts characteristics by identifying different cell types, mainly blastocyst structures and patterns, without extracting characteristics of the first cell divisions and the behaviour thereof over time; and predicts the prognosis of pregnancy and/or ploidy (result of genetic study and successful implantation), using micrographs standardised for the management thereof and by means of sequential preprocessing and machine learning algorithms implemented in a computer in order to rank the potential of a set of embryos, to obtain a successful, live, full-term pregnancy.

Abstract: The invention relates to a method that allows a set of embryos to be ranked on the basis of ploidy potential and/or pregnancy generation potential, to aid the process of selecting embryos for transfer in an in-vitro fertilisation procedure. The method measures properties or characteristics of the entire blastocyst; extracts characteristics by identifying different cell types, mainly blastocyst structures and patterns, without extracting characteristics of the first cell divisions and the behaviour thereof over time; and predicts the prognosis of pregnancy and/or ploidy (result of genetic study and successful implantation), using micrographs standardised for the management thereof and by means of sequential preprocessing and machine learning algorithms implemented in a computer in order to rank the potential of a set of embryos, to obtain a successful, live, full-term pregnancy.