Automated tissue section system with cut quality prediction

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components, wherein:
• the at least one sensor is configured to capture images or a live feed image data to monitor performance of the sectioning system as a function of the images or live feed image data and the control system is configured to adjust an operational parameter of at least one of the chuck assembly or the cutting assembly as a function of the images or the live feed image data.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components, wherein:
• the at least one sensor is an image sensor, and the sectioning system further comprises an illumination system that provides illumination at various wavelengths to capture, by the image sensor, images or live feed data, and the control system is configured to monitor performance of the sectioning system as a function of the images or live feed data.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components, wherein:
• the at least one sensor is disposed on, or in communication with, the cutting assembly;
• and
• the control system is configured to monitor cutting assembly condition as a function of data from the at least one sensor.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components;
• and
• an imaging system including a lens and an imaging sensor, the imaging sensor being configured to capture images and the control system being configured to analyze the images for blade artifacts and tissue section thickness uniformity.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components, wherein:
• the control system is configured to alter dynamic parameters and configuration of at least one of the chuck assembly or the cutting assembly, without user intervention, to compensate for drifting microtome conditions monitored from the data from the at least one sensor.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components, wherein:
• the at least one sensor comprises a camera including a lens and a sensor, the sensor is configured to capture images or live feed data, and the control system is configured to predict tissue section quality as a function of the images or the live feed data.

A sectioning system comprising:

• a chuck assembly configured to receive a tissue block;
• a cutting assembly configured to remove a tissue section from the tissue block;
• at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly;
• a control system configured to:
• receive data from the at least one sensor;
• determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly;
• and
• output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components;
• and
• an illumination system configured to illuminate at least one of the chuck assembly or the cutting assembly at various wavelengths, wherein the control system is configured to monitor cutting assembly condition without user intervention.

A sectioning system comprising:

• a tissue chuck configured to retain a tissue block therein;
• a blade configured to cut tissue sections from the tissue block;
• at least one sensor configured to sense dynamics of at least one of the tissue chuck or the blade;
• and
• a control system configured to:
• receive sensed data from the at least one sensor;
• determine whether the sensed data exceeds a predefined limit of baseline data;
• and
• output a signal if it is determined the sensed data exceeds the predefined limit of baseline data, wherein:
• the at least one sensor comprises a force sensor;
• the force sensor is configured to collect vibration data from the sectioning system;
• and
• the control system is configured to monitor performance of the sectioning system as a function of the vibration data.

A sectioning system comprising:

• a tissue chuck configured to retain a tissue block therein;
• a blade configured to cut tissue sections from the tissue block;
• at least one sensor configured to sense dynamics of at least one of the tissue chuck or the blade;
• and
• a control system configured to:
• receive sensed data from the at least one sensor;
• determine whether the sensed data exceeds a predefined limit of baseline data;
• and
• output a signal if it is determined the sensed data exceeds the predefined limit of baseline data, wherein:
• the at least one sensor comprises a camera;
• the camera includes a lens, a sensor, and a dedicated illumination system that provides illumination at various wavelengths to capture images or live feed data;
• and
• the control system is configured to monitor performance of the sectioning system as a function of the images or live feed data.