A particle analysis device includes a liquid space adapted to store a liquid; a chip disposed above the liquid space, the chip having a connection pore extending vertically and communicating with the liquid space; an upper hole disposed above the chip, the upper hole extending vertically and communicating with the connection pore; a first electrode adapted to apply an electric potential to a liquid in the upper hole; and a second electrode adapted to apply an electric potential to the liquid in the liquid space. The upper hole having a diameter that is equal to or greater than the maximum width of the connection pore, and the entirety of the connection pore falling within the range of the upper hole.

A number analyzing method, a number analyzing device, and a storage medium for number analysis are disclosed, which enable, with high accuracy, analysis of the number or number distribution of particulate or molecular analytes according to the kinds of the analytes. A computer control program is executed on the basis of a data group of particle-passage detection signals which are detected by a nanopore device in accordance with passage of subject particles through a through-hole. Also, a particle type distribution estimating program is executed, to estimate probability density on the basis of a data group based on feature values indicating feature of the waveforms of pulse signals which correspond to the passage of particles and which are obtained as the particle-passage detection signals. Thus, the number of particles can be derived for each particle type.

A number analyzing method, a number analyzing device, and a storage medium for number analysis are disclosed, which enable, with high accuracy, analysis of the number or number distribution of particulate or molecular analytes according to the kinds of the analytes. A computer control program is executed on the basis of a data group of particle-passage detection signals which are detected by a nanopore device in accordance with passage of subject particles through a through-hole. Also, a particle type distribution estimating program is executed, to estimate probability density on the basis of a data group based on feature values indicating feature of the waveforms of pulse signals which correspond to the passage of particles and which are obtained as the particle-passage detection signals. Thus, the number of particles can be derived for each particle type.

A medical analysis device with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarised opening. This device further comprises a classifier (6) comprising a convolutional neural network receiving the pulse data sets as input and is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.

A medical analysis device with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarised opening. This device further comprises a classifier (6) comprising a convolutional neural network receiving the pulse data sets as input and is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.

A number analyzing method, a number analyzing device, and a storage medium for number analysis are disclosed, which enable, with high accuracy, analysis of the number or number distribution of particulate or molecular analytes according to the kinds of the analytes. A computer control program is executed on the basis of a data group of particle-passage detection signals which are detected by a nanopore device in accordance with passage of subject particles through a through-hole. Also, a particle type distribution estimating program is executed, to estimate probability density on the basis of a data group based on feature values indicating feature of the waveforms of pulse signals which correspond to the passage of particles and which are obtained as the particle-passage detection signals. Thus, the number of particles can be derived for each particle type.

A number analyzing method, a number analyzing device, and a storage medium for number analysis are disclosed, which enable, with high accuracy, analysis of the number or number distribution of particulate or molecular analytes according to the kinds of the analytes. A computer control program is executed on the basis of a data group of particle-passage detection signals which are detected by a nanopore device in accordance with passage of subject particles through a through-hole. Also, a particle type distribution estimating program is executed, to estimate probability density on the basis of a data group based on feature values indicating feature of the waveforms of pulse signals which correspond to the passage of particles and which are obtained as the particle-passage detection signals. Thus, the number of particles can be derived for each particle type.

A sensor for particle identification, the sensor comprising: a first chamber configured to be filled with an electrolytic solution; a first electrode provided inside the first chamber and configured to be connected to an external power supply for applying a voltage; a second chamber configured to be filled with the electrolytic solution; a second electrode provided inside the second chamber and configured to be connected to the external power supply; a data output means configured to output measurement data expressing an ion current generated between the first electrode and the second electrode; a partition separating the first chamber and the second chamber; and a presentation means for providing a unique identifier to an external computer device over a network. The partition includes a pore connecting the first chamber and the second chamber, a physical property of the sensor is associated with the unique identifier, the sensor is configured such that when a particle passes through the pore, a transient change dependent on at least a physical property of the pore and a physical property of the particle occurs in the ion current generated between the first electrode and the second electrode, and the unique identifier is configured to cause the external computer device receiving the unique identifier to perform a process of identifying the particle according to the physical property of the sensor associated with the unique identifier. The physical property of the sensor at least includes a physical property of the pore.

A sensor for particle identification, the sensor comprising: a first chamber configured to be filled with an electrolytic solution; a first electrode provided inside the first chamber and configured to be connected to an external power supply for applying a voltage; a second chamber configured to be filled with the electrolytic solution; a second electrode provided inside the second chamber and configured to be connected to the external power supply; a data output means configured to output measurement data expressing an ion current generated between the first electrode and the second electrode; a partition separating the first chamber and the second chamber; and a presentation means for providing a unique identifier to an external computer device over a network. The partition includes a pore connecting the first chamber and the second chamber, a physical property of the sensor is associated with the unique identifier, the sensor is configured such that when a particle passes through the pore, a transient change dependent on at least a physical property of the pore and a physical property of the particle occurs in the ion current generated between the first electrode and the second electrode, and the unique identifier is configured to cause the external computer device receiving the unique identifier to perform a process of identifying the particle according to the physical property of the sensor associated with the unique identifier. The physical property of the sensor at least includes a physical property of the pore.

A particle occurrence sensing circuit for microfluidic particle sensing includes a set of particle event indicators, each of which includes: a Coulter counter having a sensing electrode exposable to a fluid within a microfluidic channel and configured for providing a particle sensing signal; an input stage configured for providing an extracted particle sensing signal; and a particle event detector configured for providing a set of particle event occurrence signals. Each of the set of particle event occurrence signals indicates a sensed occurrence of a particle greater than or equal to a given reference particle size during fluid flow through the microfluidic channel to which the sensing electrode is exposed. The particle event detector includes a successive approximation (SA) analog-to-digital converter (ADC) configured for generating a plurality of reference particle size threshold values and successively comparing the extracted particle sensing signal amplitude with reference particle size threshold values.