Platforms, systems, and devices for 3D printing

Abstract

It relates to a procedural modeling suite that offers numerous advantages, such as the ability to visualize and manipulate crystallographic structures composed of countless crystal lattices at an infinite level of detail. [Solution] A 3D printing device utilizing a static optical assembly and a 3D printing platform comprising a procedural modeling application that represents a 3D scene as a signed distance function are described. Structures such as bioreactors that can be printed using such a platform, as well as their characteristics and uses, are also described.

Claims

1. A stereolithography three-dimensional (3D) printing device, a) A static optical assembly, i. An optical engine configured to project a Lux beam containing multiple pixels along the Z-axis, ii. At least one collimation lens configured to collimate the lux beam, iii. A microlens array (MLA) configured to focus a collimated Lux ​​beam into a final beam of a smaller diameter, wherein each pixel of the Lux beam is subdivided into a plurality of subpixels to increase the resolution of the final beam. iv. A microdiaphragm array (MDA) configured to reduce noise and crosstalk between the lenses of the MLA, v. At least one projection lens, and vi. A movable stage configured to translate one or more of the at least one projection lenses in the X-Y plane. Equipped with, A static optical assembly wherein the distance along the Z-axis between the optical engine, the collimation lens, the MLA, the at least one projection lens, and the movable stage of the static optical assembly is fixed. b) A printing fluid tank equipped with a printing stage that is movable on the Z axis, c) To achieve stereolithography 3D printing, at least the optical engine, the movable stage, and a control circuit unit configured to control the printing stage A 3D printing device equipped with [a specific feature].

2. The 3D printing device according to claim 1, wherein the optical engine comprises a UV projector or a deep UV projector.

3. The 3D printing device according to claim 2, wherein the optical engine has an operating wavelength between 370 nm and 415 nm.

4. The 3D printing device according to claim 3, wherein the optical engine has an operating wavelength of approximately 405 nm.

5. The 3D printing device according to claim 3, wherein the optical engine has an operating wavelength of approximately 380 nm.

6. The 3D printing device according to claim 1, wherein the optical engine is a first optical engine configured to project a first operating wavelength, and the 3D printing device further comprises a second optical engine configured to project a second operating wavelength.

7. The 3D printing device according to claim 6, wherein the second optical engine operates in parallel with the first optical engine, and the second operating wavelength is selected to prevent polymerization of the photocurable resin in the printing fluid tank.

8. The 3D printing device according to claim 1, wherein the optical engine comprises a digital micromirror device (DMD).

9. The 3D printing device according to claim 8, wherein the DMD has a resolution of approximately 2560 pixels x approximately 1600 pixels.

10. The 3D printing device according to claim 1, wherein the optical engine comprises a liquid crystal on silicon (LCoS) device.

11. The 3D printing device according to claim 10, wherein the LCoS device has a resolution of approximately 4096 pixels x approximately 2400 pixels.

12. The 3D printing device according to claim 1, wherein the light engine has a light generation area of ​​approximately 90 mm x approximately 50 mm.

13. The 3D printing device according to claim 1, wherein the light engine has a light generation area of ​​approximately 140 mm x approximately 90 mm.

14. The 3D printing device according to claim 1, comprising a collimation lens system.

15. The 3D printing device according to claim 14, wherein the collimation lens system comprises two to six collimation lenses.

16. The 3D printing device according to claim 1, wherein the movable stage includes a piezoelectric mechanism configured to translate one or more of the at least one projection lenses in the X-Y plane.

17. The piezoelectric mechanism causes one or more of the at least one projection lenses to translate in the X-Y plane with nanometer resolution, as described in claim 16.

18. The 3D printing device according to claim 16, wherein the stage has a translation range of at least 50 μm on the X axis and at least 50 μm on the Y axis.

19. The 3D printing device according to claim 18, wherein the stage has a translation range of approximately 100 μm on the X axis and approximately 100 μm on the Y axis.

20. The 3D printing device according to claim 16, wherein the stage has a translation resolution less than or equal to the length of the subpixel.

21. The 3D printing device according to claim 1, wherein the MLA comprises a biconvex array, a biconcave array, a single convex array, a single concave array, or a combination thereof.

22. The 3D printing device according to claim 21, wherein the MLA comprises a monolithic biconvex array.

23. The 3D printing device according to claim 21, wherein the MLA comprises a planar substrate and a plurality of microlenses on each of the two largest opposite sides of the planar substrate.

24. The 3D printing device according to claim 23, wherein the planar substrate is borosilicate glass or etched glass, and the plurality of microlenses are polymer or glass.

25. The 3D printing device according to claim 23, wherein the MDA is positioned between the planar substrate and one of the multiple microlenses of the MLA.

26. The 3D printing device according to claim 1, comprising multiple MDAs.

27. The 3D printing device according to claim 1, wherein the MDA has a diaphragm aperture size of 10 μm to 15 μm.

28. The 3D printing device according to claim 1, wherein the MDA subdivides each pixel of the Luxbeam into subpixels between 4 and 7498.

29. The 3D printing device according to claim 28, wherein the MDA subdivides each pixel of the Luxbeam into subpixels between 4 and 100.

30. The 3D printing device according to claim 29, wherein the MDA subdivides each pixel of the Lux beam into nine subpixels.

31. The 3D printing device according to claim 29, wherein the MDA subdivides each pixel of the Lux beam into 25 subpixels.

32. The 3D printing device according to claim 29, wherein the MDA subdivides each pixel of the Lux beam into 49 subpixels.

33. The 3D printing device according to claim 1, wherein the at least one projection lens expands the final printing area.

34. The 3D printing device according to claim 1, wherein the at least one projection lens reduces the final printing area.

35. The 3D printing device according to claim 1, wherein the final printing area is at least twice the size of the light generation area of ​​the optical engine.

36. The 3D printing device according to claim 1, wherein the final printing area is at least four times the light generation area of ​​the optical engine.

37. The 3D printing device according to claim 1, wherein the control circuit is configured to control at least the optical engine, the movable stage, and the printing stage in order to achieve stereolithography 3D printing in a semi-continuous, substantially continuous, or continuous pattern.

38. The 3D printing device according to claim 37, wherein the control circuit is configured to control the printing stage so that it moves at a predetermined constant speed on the Z axis.

39. The 3D printing device according to claim 37, wherein the control circuit is configured to control the movable stage so as to translate one or more of the at least one projection lenses in the X-Y plane in order to scan the Lux beam in a predetermined pattern.

40. The 3D printing device according to claim 39, wherein the predetermined pattern includes a spiral pattern.

41. The 3D printing device according to claim 39, wherein the predetermined pattern includes a continuous space-filling curve.

42. The 3D printing device according to claim 41, wherein the predetermined pattern includes a Sierpinski curve.

43. The 3D printing device according to claim 37, wherein the control circuit is configured to control at least the optical engine, the movable stage, and the printing stage to achieve stereolithography 3D printing of a porous structure having a periodically spatially distributed gyroid geometric shape.

44. The 3D printing device according to claim 1, further comprising a robotic gantry configured to scroll the static optical assembly in the X-Y plane relative to the printing fluid tank.

45. The 3D printing device according to claim 44, wherein the control circuit is further configured to control the robotic gantry.

46. The 3D printing device according to claim 1, wherein the control circuit is configured to control the printing stage to achieve bottom-up stereolithography 3D printing.

47. The 3D printing device according to claim 1, wherein the control circuit is configured to control the printing stage to achieve top-down stereolithography 3D printing.

48. The 3D printing device according to claim 1, wherein the printing fluid tank contains a multiphase photocurable resin.

49. The 3D printing device according to claim 1, wherein the printing fluid tank contains a sterilized photocurable resin.

50. A computer implementation system comprising at least one processor, memory, and instructions executable by the at least one processor for creating a procedural modeling application, wherein the procedural modeling application is a) A graphical user interface (GUI) with a viewport, b) A presentation module configured to represent a scene as a signed distance function and render the scene by utilizing ray marching, i. A scene library containing one or more procedural objects (POs), ii. A scene editor that allows a user to add one or more POs to the scene and to create a Constructive Solid Geometry (CSG) tree for the scene. iii. A procedural object (PO) editor that enables the user to edit the characteristics of each PO attached to the scene. iv. A simulation editor that enables the user to configure one or more simulations of the scenes, and v. A print editor that enables the user to configure the scene for printing. A presentation module comprising, c) A simulation module configured to perform one or more simulations within the scene, d) A printing module configured to generate a queue of slice files and send the slice files to a 3D printer. A computer-implemented system including this.

51. The system according to claim 50, wherein the presentation module enables a user to drag a PO from the scene library and drop the PO into the viewport to add the PO to the scene.

52. The system according to claim 50, wherein the presentation module enables the user to save the edited PO to the scene library.

53. The system according to claim 50, wherein the one or more POs comprises crystallography units.

54. The system according to claim 53, wherein the presentation module allows the user to replicate the crystallography unit to form a crystal lattice within the scene.

55. The system according to claim 53, wherein the characteristics of the PO include links for connecting to one or more adjacent POs, and conduits for connecting the links.

56. The system according to claim 54, wherein the signed distance function includes a mathematical equation that represents the entire crystal lattice.

57. The system according to claim 54, wherein the crystallography unit comprises a gyroid.

58. The system according to claim 57, wherein the crystal lattice has a periodically spatially distributed gyroid geometric shape.

59. The system according to claim 50, wherein the signed distance function does not include a list of geometric primitives.

60. The system according to claim 50, wherein the one or more simulations include a microfluidic simulation.

61. The system according to claim 50, wherein the one or more simulations include computational fluid dynamics (CFD) simulations.

62. The system according to claim 50, wherein the one or more simulations include the use of a lattice Boltzmann method (LBM) in combination with the signed distance function to solve the CFD simulation.

63. The system according to claim 50, wherein the one or more simulations include visualization of one or more features of the simulations.

64. The system according to claim 50, wherein the print editor allows the user to configure one or more of the surface profile, printer execution order, layer thickness, Luxbeam exposure time, and pixel resolution.

65. The system according to claim 50, wherein the performance of the procedural modeling application does not decrease with increasing scene size or scene detail.

66. The system according to claim 50, wherein the at least one processor comprises a plurality of graphics processing units (GPUs).

67. The system according to claim 50, wherein the at least one processor comprises a cloud computing platform.

68. A non-temporary computer-readable storage medium encoded with instructions executable by at least one processor for creating a procedural modeling application, wherein the procedural modeling application is a) A graphical user interface (GUI) with a viewport, b) A presentation module configured to represent a scene as a signed distance function and render the scene by utilizing ray marching, i. A scene library containing one or more procedural objects (POs), ii. A scene editor that allows a user to add one or more POs to the scene and to create a Constructive Solid Geometry (CSG) tree for the scene. iii. A procedural object (PO) editor that enables the user to edit the characteristics of each PO attached to the scene. iv. A simulation editor that enables the user to configure one or more simulations of the scenes, and v. A print editor that enables the user to configure the scene for printing. The presentation module includes, c) A simulation module configured to perform one or more simulations of the aforementioned scenes, d) A printing module configured to generate a queue of slice files and send the slice files to a 3D printer. Computer-readable storage media, including [specific data / information].

69. The computer-readable storage medium according to claim 68, wherein the presentation module enables a user to drag a PO from the scene library and drop the PO into the viewport to add the PO to the scene.

70. The presenting module enables the user to save the edited PO to the scene library, as described in claim 68, for the computer-readable storage medium.

71. The computer-readable storage medium according to claim 68, wherein the one or more POs comprises crystallography units.

72. The computer-readable storage medium according to claim 68, wherein the presentation module enables the user to replicate the crystallography unit to form a crystal lattice within the scene.

73. The computer-readable storage medium according to claim 68, wherein the characteristics of the PO include links for connecting to one or more adjacent POs, and conduits for connecting the links.

74. The computer-readable storage medium according to claim 73, wherein the signed distance function includes a mathematical equation that represents the entire crystal lattice.

75. The computer-readable storage medium according to claim 73, wherein the crystallography unit comprises a gyroid.

76. The computer-readable storage medium according to claim 74, wherein the crystal lattice has a periodically spatially distributed gyroid geometric shape.

77. The computer-readable storage medium according to claim 68, wherein the signed distance function does not include a list of geometric primitives.

78. The computer-readable storage medium according to claim 68, wherein the one or more simulations include microfluidic simulations.

79. The computer-readable storage medium according to claim 68, wherein the one or more simulations include computational fluid dynamics (CFD) simulations.

80. The computer-readable storage medium according to claim 68, wherein the one or more simulations include the use of a lattice Boltzmann method (LBM) in combination with the signed distance function to solve the CFD simulation.

81. The computer-readable storage medium according to claim 68, wherein the one or more simulations include visualization of one or more features of the simulations.

82. The computer-readable storage medium according to claim 68, wherein the print editor enables the user to configure one or more of the surface profile, printer execution order, layer thickness, Luxbeam exposure time, and pixel resolution.

83. The computer-readable storage medium according to claim 68, wherein the performance of the procedural modeling application does not decrease with increasing scene size or scene detail.

84. The computer-readable storage medium according to claim 68, wherein the at least one processor comprises a plurality of graphics processing units (GPUs).

85. The computer-readable storage medium according to claim 68, wherein the at least one processor comprises a cloud computing platform.

86. A computer implementation method for procedural modeling, a) To provide a procedural modeling application, the procedural modeling application is i. A scene library containing one or more procedural objects (POs), ii. A scene editor that allows a user to add one or more POs to a scene and create a Constructive Solid Geometry (CSG) tree for the scene. iii. A procedural object (PO) editor that enables the user to edit the characteristics of each PO attached to the scene. iv. A simulation editor that enables the user to configure one or more simulations of the scenes, and v. A print editor that enables the user to configure the scene for printing. to include, to provide, b) Representing the aforementioned scene as a signed distance function, c) Rendering the scene by using ray marching, d) Performing one or more simulations within the scene e) Creating a queue of slice files, and f) Sending the slice file to the 3D printer. A computer-implemented method, including a computer-based implementation method.

87. The method according to claim 86, wherein the presentation module enables a user to drag a PO from the scene library and drop the PO into the viewport to add the PO to the scene.

88. The method according to claim 86, wherein the presentation module enables the user to save the edited PO to the scene library.

89. The method according to claim 86, wherein the one or more POs comprise crystallography units.

90. The method according to claim 86, wherein the presentation module enables the user to replicate the crystallography unit to form a crystal lattice within the scene.

91. The method according to claim 86, wherein the characteristics of the PO include links for connecting to one or more adjacent POs, and conduits for connecting the links.

92. The method according to claim 90, wherein the signed distance function includes a mathematical equation that represents the entire crystal lattice.

93. The method according to claim 91, wherein the crystallography unit comprises a gyroid.

94. The method according to claim 93, wherein the crystal lattice has a periodically spatially distributed gyroid geometric shape.

95. The method according to claim 86, wherein the signed distance function does not include a list of geometric primitives.

96. The method according to claim 86, wherein the one or more simulations include a microfluidic simulation.

97. The method according to claim 86, wherein the one or more simulations include computational fluid dynamics (CFD) simulations.

98. The method according to claim 86, wherein the one or more simulations include the use of a lattice Boltzmann method (LBM) in combination with the signed distance function to solve the CFD simulation.

99. The method according to claim 86, wherein the one or more simulations include visualization of one or more features of the simulations.

100. The method according to claim 86, wherein the print editor enables the user to configure one or more of the surface profile, printer execution order, layer thickness, Luxbeam exposure time, and pixel resolution.

101. A method for manufacturing a 3D object that includes multiple repeating units, a) To provide a procedural modeling application, wherein the procedural modeling application comprises at least, i. Adding one or more crystallography units to a 3D scene, ii. Replicating one or more crystallographic units that form a crystal lattice within the scene, and iii. Constituting links for connecting the replicated crystallography units, and conduits for connecting the links. To provide, enabling users to perform, b) Constructive Solid Geometry (CSG) trees for the aforementioned scenes, c) Representing the 3D scene as a signed distance function, d) Rendering the scene using ray marching, e) Creating a queue of slice files, and f) Sending the slice files to a stereolithography 3D printing device. Methods that include...

102. The method according to claim 101, wherein the crystallographic units are periodically and spatially distributed to form the crystal lattice.

103. The aforementioned procedural modeling application includes at least, a) Select one or more crystallography units from the scene library. b) Editing the characteristics of each crystallography unit added to the scene, c) To configure one or more simulations of the aforementioned scenes, and d) Constructing the aforementioned scene for 3D printing. The method according to claim 101, further enabling the user to perform the action.

104. The method according to claim 103, further comprising performing one or more simulations within the aforementioned scene.

105. The method according to claim 104, wherein the one or more simulations include a microfluidic simulation.

106. The method according to claim 104, wherein the one or more simulations include computational fluid dynamics (CFD) simulations.

107. The method according to claim 104, wherein the one or more simulations include the use of a lattice Boltzmann method (LBM) in combination with the signed distance function to solve a CFD simulation.

108. The method according to claim 104, wherein the one or more simulations include visualization of one or more features of the simulations.

109. The method according to claim 101, wherein the signed distance function includes a mathematical equation that represents the entire crystal lattice.

110. The method according to claim 101, wherein the signed distance function does not include a list of geometric primitives.

111. The method according to claim 101, wherein the crystallographic units are repeated at high density in the crystal lattice.

112. The method according to claim 101, wherein the 3D object comprises a bioreactor.

113. A method for manufacturing a bioreactor, a) To provide a procedural modeling application, wherein the procedural modeling application comprises at least, i. Adding multiple mini-modules to a 3D scene, and ii. Assembling the multiple minimodules into a macrostructure in order to create a bioreactor. To provide something that enables users to do this. b) Constructive Solid Geometry (CSG) trees for the aforementioned scenes, c) Representing the 3D scene as a signed distance function, d) Rendering the scene using ray marching, e) Creating a queue of slice files, and f) Sending the slice files to a stereolithography 3D printing device. Methods that include...

114. The method according to claim 113, wherein one or more of the minimodules are double gyroids (DGs) or modified DGs.

115. The method according to claim 113, wherein the minimodule is arranged in multiple layers within the macrostructure.

116. The method according to claim 115, wherein the plurality of layers are assembled to form a first matrix and a second matrix, the second matrix occupies free space within the first matrix, the first matrix and the second matrix occupy the same volume, have no contact points, and maintain a constant minimum distance from each other.

117. The method according to claim 113, wherein the 3D scene and the slice file are configured for a print surface of up to approximately 320 mm x 320 mm.

118. The method according to claim 113, wherein the cubic mm volume of the 3D scene includes a maximum of approximately 14 minimodules.

119. The method according to claim 113, wherein the print volume of the bioreactor is approximately 102,400,000 cubic millimeters at most.

120. The method according to claim 113, wherein the bioreactor comprises minimodules with a maximum print volume of approximately 1,496,704,035.

121. The method according to claim 113, wherein one or more of the minimodules are provided with channels, and the channels have a diameter of approximately 8 μm to 2000 μm.

122. The method according to claim 113, wherein each minimodule has an edge length of approximately 40 μm to 9797 μm.

123. Each mini-module is approximately 68417 to 9.4 x 10 １１ The method according to claim 113, having a volume of cubic millimeters.

124. It is a bioreactor, a) comprising a crystallographic unit in which each volume is symmetrically repeated within a three-dimensional crystal lattice, and each three-dimensional crystal lattice is functionalized and fluidly interconnected to provide at least one microchannel or chamber, b) Inoculation microchannel configured to receive multiple cells into the bioreactor, c) A collection microchannel configured to receive multiple cells or derivatives thereof from the bioreactor, d) A first channel system comprising at least one microchannel formed by at least one microchannel or chamber of one or more volumes of the plurality of volumes, and e) A second channel system comprising at least one microchannel formed by the at least one microchannel or chamber of one or more of the volumes of the plurality of volumes. Equipped with, The first channel system and the second channel system provide separate inputs to the bioreactor, which is a bioreactor.

125. The bioreactor according to claim 124, which is a bubble-free bioreactor.

126. A bioreactor according to claim 124, which generates a continuous laminar flow of a medium.

127. A bioreactor according to claim 124, which generates a continuous laminar flow of gas.

128. The bioreactor according to claim 124, having a spherical topology.

129. The bioreactor according to claim 128, wherein the plurality of volumes are arranged in concentric layers at various distances from the center of the spherical topology.

130. The bioreactor according to claim 124, comprising 3, 4, 5, 6, 7, 8, 9, or 10 volumes.

131. The bioreactor according to claim 130, comprising eight volumes.

132. The bioreactor according to claim 124, wherein the crystallography unit comprises a double gyroid structure or a modified double gyroid structure.

133. The bioreactor according to claim 124, wherein the inoculation channel delivers the plurality of cells to the central volume of the bioreactor.

134. The bioreactor according to claim 124, wherein the first channel system is a liquid medium system that is fluidly connected to the inoculation microchannel and the collection microchannel.

135. The bioreactor according to claim 134, further comprising at least one medium intake microchannel in the media system.

136. The bioreactor according to claim 135, further comprising a liquid medium input device configured to introduce a liquid medium into each medium intake microchannel.

137. The bioreactor according to claim 134, wherein the media system is configured to provide a uniform distribution of the media.

138. The bioreactor according to claim 124, wherein the plurality of volumes comprises one or more volumes functionalized for cell culture.

139. The bioreactor according to claim 138, wherein the plurality of volumes comprises four volumes functionalized for cell culture.

140. The bioreactor according to claim 124, wherein the second channel system is a gas system.

141. The bioreactor according to claim 140, wherein the gas system further comprises at least one gas intake microchannel.

142. The bioreactor according to claim 141, wherein the gas system is fluidly connected to the at least one gas intake microchannel and to the outside of the bioreactor.

143. The bioreactor according to claim 141, further comprising a gas input device configured to introduce a gas composition into each gas intake microchannel.

144. The bioreactor according to claim 140, wherein the gas system is configured to provide a uniform distribution of gas.

145. The bioreactor according to claim 124, wherein the plurality of volumes are functionalized for gas distribution and comprise one or more volumes comprising a gas distribution chamber.

146. The bioreactor according to claim 145, wherein the plurality of volumes comprises five volumes that are functionalized for gas distribution and each volume is equipped with a gas distribution chamber.

147. The bioreactor according to claim 124, wherein the media system and the gas system are non-overlapping systems separated by one or more porous membranes.

148. The bioreactor according to claim 124, wherein the plurality of volumes are in fluid communication with the sampling microchannels and comprise a sampling layer that includes a sampling chamber.

149. The bioreactor according to claim 124, further comprising an outer layer.

150. The bioreactor according to claim 124, wherein the plurality of volumes comprises one or more transition layers between volumes of different functionalization, and the crystallography unit comprises a transition crystal.

151. A method for growing multiple cells or derivatives thereof, a) To provide a bioreactor, the bioreactor is i. A plurality of volumes comprising a crystallographic unit in which each volume is symmetrically repeated within a three-dimensional crystal lattice, wherein each three-dimensional crystal lattice is functionalized and fluidly interconnected to provide at least one microchannel or chamber, ii. An inoculation microchannel configured to receive a first plurality of cells into the bioreactor, iii. A collection microchannel configured to receive a second plurality of cells or bioproducts from the bioreactor, iv. A first channel system comprising at least one microchannel formed by at least one microchannel or chamber of one or more volumes of the plurality of volumes, and v. A second channel system comprising at least one microchannel formed by the at least one microchannel or chamber of one or more of the volumes of the plurality of volumes. Equipped with, The first channel system and the second channel system provide, provide, separate inputs to the bioreactor, and b) Orienting the first plurality of cells into the inoculation microchannel, wherein the first plurality of cells flow from the inoculation microchannel through the plurality of volumes of the at least one microchannel or chamber and are oriented to undergo cell growth to produce the second plurality of cells. Methods that include...

152. The method according to claim 151, further comprising collecting the second plurality of cells or a subpopulation thereof from the collection microchannel.

153. The method according to claim 151, wherein the second plurality of cells or a subpopulation thereof produce a bioproduct.

154. The method according to claim 151, further comprising collecting the bioproduct from the collection channel.

155. The method according to claim 151, wherein the bioproduct is a protein, antibody, small molecule, or metabolite.

156. The method according to claim 151, wherein the first plurality of cells include prokaryotic cells.

157. The method according to claim 151, wherein the first plurality of cells include eukaryotic cells.

158. The method according to claim 151, wherein the plurality of cells are selected from the group consisting of bacterial cells, fungal cells, yeast cells, algal cells, plant cells, avian cells, mammalian cells, and any combination thereof.

159. The method according to claim 151, wherein the bioreactor is a bubble-free bioreactor.

160. The method according to claim 151, wherein the bioreactor generates a continuous laminar flow of the medium.

161. The method according to claim 151, wherein the bioreactor generates a continuous laminar flow of gas.

162. The method according to claim 151, wherein the bioreactor has a spherical topology.

163. The method according to claim 162, wherein the plurality of volumes are arranged in concentric layers at various distances from the center of the spherical topology.

164. The method according to claim 151, wherein the bioreactor comprises 3, 4, 5, 6, 7, 8, 9, or 10 volumes.

165. The method according to claim 164, wherein the bioreactor comprises eight volumes.

166. The method according to claim 151, wherein the crystallography unit comprises a double gyroid structure or a modified double gyroid structure.

167. The method according to claim 151, wherein the inoculation channel delivers the first plurality of cells to the central volume of the bioreactor.

168. The method according to claim 151, wherein the first channel system is a liquid medium system that fluidly connects the inoculation microchannel and the sampling microchannel.

169. The method according to claim 168, wherein the media system further comprises at least one media intake microchannel.

170. The method according to claim 169, wherein the bioreactor further comprises a liquid medium input device configured to allow a liquid medium to flow into each medium intake microchannel.

171. The method according to claim 168, wherein the media system is configured to provide a uniform distribution of the media.

172. The method according to claim 151, wherein the plurality of volumes comprises one or more volumes functionalized for cell culture.

173. The method according to claim 172, wherein the plurality of volumes comprises four volumes functionalized for cell culture.

174. The method according to claim 151, wherein the second channel system is a gas system.

175. The method according to claim 174, wherein the gas system further comprises at least one gas intake microchannel.

176. The method according to claim 175, wherein the gas system is fluidly connected to the at least one gas intake microchannel and the outside of the bioreactor.

177. The method according to claim 175, wherein the bioreactor further comprises a gas input device configured to introduce a gas composition into each gas intake microchannel.

178. The method according to claim 174, wherein the gas system is configured to provide a uniform distribution of gas.

179. The method according to claim 151, wherein the plurality of volumes comprises one or more volumes that are functionalized for gas distribution and include a gas distribution chamber.

180. The method according to claim 179, wherein the plurality of volumes comprises five volumes that are functionalized for gas distribution and each volume is equipped with a gas distribution chamber.

181. The method according to claim 151, wherein the media system and the gas system are non-overlapping systems separated by one or more porous membranes.

182. The method according to claim 151, wherein the plurality of volumes are in fluid communication with the sampling microchannels and comprise a sampling layer that includes a sampling chamber.

183. The method according to claim 151, wherein the bioreactor further comprises an outer layer.

184. The method according to claim 151, wherein the plurality of volumes comprises one or more transition layers between volumes of different functionalization, and the crystallography unit comprises a transition crystal.

185. A computer implementation system comprising at least one processor, memory, and instructions executable by the at least one processor for creating a procedural modeling application, wherein the procedural modeling application is a) An interface, which is at least, i. Define at least one volume within the scene. ii. Identifying crystallographic units for at least one volume, iii. Identifying the symmetry of the crystallographic unit, and iv. Editing the properties of the crystallography unit. An interface that allows the user to perform this, b) Presentation module, i. To generate a three-dimensional crystal lattice, the identified crystallographic units are replicated according to the identified symmetry, wherein the three-dimensional crystal lattice is functionalized and fluidly interconnected to provide at least one microchannel or chamber. ii. Representing the aforementioned scene as a signed distance function, and iii. Render the aforementioned scene. A presentation module configured to perform the following: c) A simulation editor that enables the user to configure one or more simulations of the scenes, d) A simulation module configured to perform one or more simulations within the scene, e) A print editor that enables the user to configure the scene for printing. f) A printing module configured to generate a queue of slice files and send the slice files to a 3D printer. A computer-implemented system including this.

186. The computer-implemented system according to claim 185, wherein the interface further enables the user to configure one or more microchannels within the at least one volume.

187. The computer-mounted system according to claim 185, wherein the at least one microchannel or chamber comprises a fluidly continuous liquid or gas transport system.

188. The computer-mounted system according to claim 185, wherein the characteristics of the crystallography unit include links for connecting to one or more adjacent crystallography units, and conduits for connecting the links.

189. The system according to claim 185, wherein the signed distance function includes a mathematical equation that represents the entire crystal lattice.

190. The computer-mounted system according to claim 185, wherein the crystallography unit comprises a gyroid.

191. The computer-implemented system according to claim 190, wherein the crystal lattice has a periodically spatially distributed gyroid geometric shape.

192. The aforementioned procedural modeling application is a) Transition volume between different functionalization volumes, and b) Transition crystallography unit for the transition volume The computer-implemented system according to claim 185, further comprising a deep learning algorithm trained to predict the following.

193. The computer-implemented system according to claim 185, wherein the algorithm comprises one or more neural networks (NNs).

194. The computer-implemented system according to claim 193, wherein the one or more neural networks (NNs) include one or more generative adversarial networks (GaNs) or one or more variational autoencoders (VAEs).

195. The computer-implemented system according to claim 185, wherein the one or more simulations include finite element analysis (FEA).

196. The computer-based system according to claim 185, wherein the one or more simulations evaluate the microfluidic continuity of the at least one microchannel or chamber.

197. The computer-implemented system according to claim 185, wherein the signed distance function does not include a list of geometric primitives.

198. The computer-implemented system according to claim 185, wherein the performance of the procedural modeling application does not decrease with increasing scene size or scene detail.

199. The computer-implemented system according to claim 185, wherein the at least one processor comprises a plurality of graphics processing units (GPUs).

200. The computer-implemented system according to claim 185, wherein the at least one processor comprises a cloud computing platform.

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