A server stores a set of laboratory applications to process batches of samples. The server receives, from a first lab administrator, a selection of a subset of the laboratory applications to process the batches of samples and an admin configuration for a laboratory application in the subset. The server receives configuration(s) of batch(es) to be used for running at least a portion of the subset of laboratory applications configured according to the admin configuration. The server receives, from a first scientific device, a request to run a laboratory application form the first subset to process a batch. The server provides the laboratory application(s) that are capable of being executed using the first scientific device. The server receives, from the first scientific device, a selected laboratory application. The server transmits, to the first scientific device, a signal for executing a first part of the selected laboratory application.

A vaporizer device may include a pressure sensor and an ambient pressure sensor. The pressure sensor may be configured to measure a first pressure in an air flow path in the vaporizer device. The ambient pressure sensor may be configured to measure a second pressure corresponding to an atmospheric pressure. The vaporizer device may further include a controller. The controller may be configured to transition the vaporizer device to a first standby mode when the first pressure is equal to or greater than the second pressure for a first threshold quantity of time. While the vaporizer device is in the first standby mode, the controller may be further configured to transition the vaporizer device to a second standby mode when the second pressure is a threshold quantity greater than the first pressure and no motion event is detected for a second threshold quantity of time.

The present disclosure also relates to systems and methods for quality control in histology systems. In some embodiments, a method is provided that includes receiving a tissue block comprising a tissue sample embedded in an embedding material, imaging the tissue block to create a first imaging data of the tissue sample in a tissue section on the tissue block, removing the tissue section from the tissue block, the tissue section comprising a part of the tissue sample, imaging the tissue section to create a second imaging data of the tissue sample in the tissue section, and comparing the first imaging data to the second imaging data to confirm correspondence in the tissue sample in the first imaging data and the second imaging data based on one or more quality control parameters.

Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

An operation of storing a medical swab in a storing portion of a medical plate can be performed automatically. A medical swab storing method includes: grasping a medical swab having collected a specimen, by using a grasping portion provided in a robot arm; moving grasped medical swab to a position above a predetermined storing portion of a predetermined plate; and storing medical swab in the predetermined storing portion of the predetermined plate. A medical swab storing apparatus includes: a robot arm including a grasping portion; and control means configured to control the robot arm. The robot arm operates so as to move the grasped medical swab to a position above a predetermined storing portion of a predetermined plate and release grasp by the grasping portion above the predetermined storing portion so that the medical swab is stored in the predetermined storing portion, under control of the control means.

Provided is an automatic analyzer capable of detecting a specimen vessel even when a barcode label is not attached to the specimen vessel. Included are a reagent specimen disk including a mounting unit for mounting a specimen vessel that stores a specimen to be analyzed on an outer peripheral portion thereof, a two-dimensional code arranged on the reagent specimen disk at a back position of the mounting unit, a barcode arranged on a side surface of the specimen vessel, a sensor arranged at a front position of the mounting unit and capable of reading the two-dimensional code and the barcode, and a control unit for determining whether the specimen vessel is mounted on the mounting unit based on whether a contrast value of the light reflected from the two-dimensional code is equal to or greater than a threshold set in advance, by using an output signal of the sensor.

A system for biological analysis includes a housing, a block assembly within the housing having a sample block and a baseplate, a heated cover and a cover carrier. The sample block receives a sample holder comprising an RFID tag. A first drive mechanism generates relative movement between the sample block and the baseplate along a first axis. A second drive mechanism generates relative movement between the heated cover and the cover carrier along a second axis that is different from the first axis. Based on a first command the first drive mechanism releasably engages the sample block and operates the second drive mechanism to releasably engage the heated cover with the cover carrier. The system also includes first and second RFID antennas that receive RFID data from the sample holder RFID tag that is read by at least one RFID reader.

An automated system for processing a sample contained in a liquid sample container includes an automated tool head configured to rotate about a first axis, and to translate along a second axis different than the first axis, an analytic element positioner having an analytic element holder configured to releasably grip an analytic element, and a specimen transfer device carried by the tool head, wherein the tool head is configured to automatically position a working end of the specimen transfer device to obtain a specimen from a sample container held in the sample container holder, and to transfer the obtained specimen to an analytic element held by the analytic element holder, respectively, through one or both of rotation of the tool head about the first axis and translation of the tool head along the second axis.

Provided is a program or the like capable of reducing a work burden of a medical service worker or the like, in a testing using a testing kit for detecting a specimen by using an immunochromatography method. A testing device acquires a shot image obtained by shooting a testing kit for testing a specimen by using an immunochromatography method. The testing device inputs the acquired shot image to a learned model for result discrimination that is deep-learned to output information relevant to a testing result of the testing kit in the shot image when the shot image of the testing kit is inputted. Then, the testing device determines the testing result of the testing kit in the acquired shot image, on the basis of the information outputted from the learned model for result discrimination and outputs the determined testing result.

The present disclosure also relates to systems and methods for quality control in histology systems. In some embodiments, a method is provided that includes receiving a tissue block comprising a tissue sample embedded in an embedding material, imaging the tissue block to create a first imaging data of the tissue sample in a tissue section on the tissue block, removing the tissue section from the tissue block, the tissue section comprising a part of the tissue sample, imaging the tissue section to create a second imaging data of the tissue sample in the tissue section, and comparing the first imaging data to the second imaging data to confirm correspondence in the tissue sample in the first imaging data and the second imaging data based on one or more quality control parameters.